🔹Developed and refined Global Dispute and Escalation Prediction AI models with 75%+ F1 score, resulting in improved efficiency for Finance Collectors in resolving payment delays, to be deployed on AR Cloud
🔹Awarded IBM AI badge, leveraged watsonx.ai Large language models to extract Accounts Receivable Contract terms in watsonx.ai hackathon
➖Tools and Languages - VS Code, Jupyter , Generative AI, Python, Docker
Senior BI Analyst/Data Scientist
Dec 2021 - July 2022 💎
DELL Technologies, Bangalore, India
🔹Developed a Machine Learning solution to classify Software Licenses, given Software Support Descriptions automatically as part of NPI (New Product Intro) process saving 95% time, requiring minimal manual intervention and multi domain - multi use case solution working under Senior Data Scientists in team of 3
🔹Experimented with 220+ finetuned Model experiments using LSTM & Neural network based architectures optimized using Grid Search, Hyperparameter tuning [ReduceLRonPlateau, EarlyStopping] techniques and exposing API for downstream activities (Model Baseline Accuracy of 70% to Best 99% with top 3 recommendations)
🔹Bagged 1st Place for SKU Mapping using AI/ML Techniques project- Ideathon 4.0, 2021 competition organized by DELL competing with various unique ideas from 45+ teams across DELL
➖Tools and Languages - VS Code, Jupyter , AI Acceleration DSX, Python
➖Libraries and Concepts - Word and Character Embedding, LSTM, Keras, Zero-Shot Learning, Multi Class classification, Auto Keras
🔹Engineered and managed a remote, 4-member cross-functional (product, engineering, sales business) team and coordinated with senior developers toward the launch of Demand360 (Suite of Supply and Inventory Management solutions) and ProdG (Product Go-To-Market unified analytics) frontend POC in ~3 months.
🔹Crafted product roadmap from conception to prototype launch driving product vision for 300+ users scaling for 5+ countries, leveraged as the most used tool in CSB President and SVP weekly business reviews.
🔹WAPP Lab Workbench - Optimized real-time Competitive benchmarking and enabling pricing strategies driven by a robust Machine Learning Process increasing process efficiency by 92%.
🔹Advised and guided MBA intern, on a Portfolio simplification project analyzing critical 5+ business KPIs integrating online analytics, forecasting market trends, and product optimization providing effective pricing recommendations and revising promotional campaigns.
🔹Contributed to workforce efficiency plan by identifying, assessing, and onboarding 2 hires in <2 months.
BI Data Analyst/Data Scientist
June 2020 - Nov 2021
DELL Technologies, Bangalore, India
🔹Expansion of Prescriptive FORETELL 2.0 to different Business Units (BU) and SBU of company and scope to incorporate Automatic Feedback Loop to develop self automated reinforcement learning system. Improved accuracy of model by 10% average at Segment level for NA, EMEA and APJ regions
🔹Ideated, scoped, and automated the current Inventory and Supply Chain CPFR pipeline using SQL on datasets with 5M+ records and performing data visualization, reducing the time spent manually by 80%. Revamped the Inventory and Supply Chain CPFR Replenishment system having Direct Impact on Revenue saving ~$1Million in tracking and subset project for $30Million revenue savings YoY
🔹Spearheaded a team of 3 to develop AI-driven contextual conversational Chatbot for better efficiency in operations, business, pricing, performance, and market insights (on demand analytics tool).Helped develop a personalized Chatbot using Rasa X (Botfront.io)
🔹Ad-hoc : Worked on recommendation system for Product Placement based on competitor configs and market impact
🔹Bagged 1st Place for FORETELL project - DYUTI 10.0, 2020 competition organized by DELL in Innovative Insights category competing among seasonal Data Science teams
🔹Bagged 1st Place for CPFR project - DYUTI 11.0, 2021 competition organized by DELL in Data Diversity category competing among various teams
🔶Applied for Patent - Performance Boosting of Forecasting models through Cascaded Architecture
➖Tools and Languages - VS Code, Jupyter , MS SSMS, MySQL, C# , R , Python, Power BI, Tableau
Business Intelligence Intern (Machine Learning)
Jan 2020 - May 2020
DELL Technologies, Bangalore, India
🔹Created a Clean MaterialUI Design for prototyping and design fixing before production-ready of App - FORETELL 1.0
🔹Built robust Machine Learning engine ‘Foretell 2.0’ using state-of-the-art Time Series Models- ARIMAX, Holtwinters, Neural Networks, Prophet, and cascaded models to predict the Unit Purchase Plan (UPP) demand, solving Overstating (9.5% annual cost) and Understating ($12 more/ box) scenarios having direct dollar impact on DELL’s revenue.
🔹Developed, transformed and hosted UPP Statistical Machine Learning based Forecasting tool 'FORTELL 1.0' to help the business predict the future trends of Products using SOTA ML models (forecasting engine)
🔹Custom Business Override functionality for COVID, Product transitions etc built in tool that allows real time forecasting
🔹Accuracy of model improved by 10% average at Segment level
➖Tools and Languages - MS SSMS, MySQL, C# , Python, R , VBA
NLP Researcher - DAAD WISE Scholar 2019
May 2019 - July 2019
GESIS - Leibniz Institute of Social Sciences, Cologne, Germany
Evaluation of SOTA Graph Embedding methods and Small world networks -
🔹 Implemented software pipeline to generate and evaluate graph embeddings for State of the art ( SOTA ) methods like Deepwalk , LINE , Node2Vec , Struc2Vec , SDNE ,VERSE etc .
🔹 Evaluated the graph embeddings for following graph mining tasks-
1. Network Reconstruction .
2. Link Prediction .
3. Simulation of Agent-based Navigation .
🔹 Learnt & applied various Machine Learning libraries
🔹 Had hands-on with Data Visualization techniques using matplotlib, plotly, streamlit
🔹 Developed easily extendable pipeline for other graph embedding methods and mining tasks.
➖Tools and Languages - Python , PuTTy , Jupyter
Special Project Intern
April 2020 - June 2020
Cisco
Project Name: Network Load Management
Project Details:
🔹 Identified the requirements of E-Commerce Startup medicine delivery company valued at ~$40M .
🔹Develop solutions to handle outgrowing customer demands and site crashes.
🔹Helped CISCO Sales, Product Marketing & Engineering team to work together to understand the problem and articulate multiple solutions.
🔹Proposed solutions to Customer, shortlist best fit solution reducing downtime and deliver solution insights to solve the business problem.
Data Research Analyst
May 2018 - June 2018
KuBiz Capital Pvt Ltd., Mumbai, India
🔹Active involvement in projects and tasks assigned under the Technology department.
🔹Identified different sources of sales and marketing data, cleanse data ,standardize data formats , perform data analysis and compile data visualizations for customer data snapshot.
🔹Designed Loan disbursal recommendation system in Python, using the sales and marketing data. Created a dashboard with compiled data visualizations for different customer data snapshots to derive maximum churn.
🔹Derived valuable insights and solutions for the business problems by using data analysis.
MIT Manipal - Student Researcher
June 2016 - July 2020
Undergraduation Projects/Papers
🔹Trappyy | Android Studio, Java, SQL
- Programmed a travel guide application, that allows user to share travel stories, view them and plan their trips accordingly.
- Employed features such as splash & login screen, travel home feed, inhouse currency converter, time zone explorer, QR code scanner, restaurant and hotel finder, cab booking facilities and navigating geolocation of places to visit.
🔹Global Terrorism Analysis | Python
- Analysed the World Terrorism spread on 180,000+ terrorist attacks (1970 - 2017) around the world and attacks within India, their perpetrators, attacking methods and evaluated its considerable impact on the world’s economy.
- Experimented model classifiers of predicting possible terrorist outfit behind an attack and inflicted property damage. (Accuracy- Decision Tree Classifier: 82%, Random Forest: 96%, XGBoost: 97%)
🔹Research Paper - Predicting depression using deep learning and ensemble algorithms on raw twitter data
- Investigated social network and microblogging sites such as Twitter to detect tweets signifying depression, that can result in dire consequences like death, by employing machine learning.
- Authored and published a paper on the same in the International Journal of Electrical and Computer Engineering (IJECE), August 2020; p-ISSN 2088-8708, e-ISSN 2722-2578.
Columbia University in the City of New York, New York, USA
Masters Student MS in Data Science (CGPA: 3.75/4) : Coursework in Data Viz, Machine Learning, NLP, Algorithms, Causal Inference, Deep Learning and Finance
🔹 Graduate Teaching Assistant: Supported courses in Applied Machine Learning, Natural Language Processing and Data Science & Computational Thinking Lab
🔹 Graduate Research Assistant (ISERP): Participated in spatial research projects, contributing to data analysis and visualization
🔹 EGSC Data Science Department Representative: Advocated for Data Science students' interests, hosted events, and fostered community among SEAS graduate students
🔹 Executive Board Member - Treasurer: Managed council funds, financial transactions, to ensure financial success of DSISC events
🔹 Professional Development and Leadership (PDL) Fellow, Graduate Assistant Mentor - Laidlaw Scholar
🔹 Non-Academia : Inter Ivy 2023 Best Chess Player on Board, Columbia Chess Team Core Member, Open Chess Tournament WinnerProfessional Development and Leadership (PDL) Fellow, Graduate Assistant Mentor - Laidlaw Scholar, Application Development Initiative (Mentor)
Bachelor of Engineering in Computer Engineering
2016 - 2020
Manipal Institute of Technology, Karnataka, India
CGPA: 9.65/10
🔹 DAAD WISE Scholar
🔹 Kadambi Scholar
🔹 Invited to MIT Reality Hack 2020 at Massachusetts Institute of Technology,USA to represent MIT Manipal.
Higher Secondary Certificate [HSC]
2014 - 2016
Thakur Vidya Mandir Jr. College, Mumbai, India
Percentage: 88.92%
Secondary School Certificate [SSC]
2014
Thakur Vidya Mandir High School , Mumbai, India
Percentage: 94.62%
Ranks and Achievements
Ranks
🔸 1st in Computer & Communication Engineering Batch of 2020 (Branch Topper & Diamond Jubilee Scholarship Recipient)
🔸 Awarded Diamond Jubilee Award 2019 for consistent academic performance
🔸 Kadambi Scholarship Award Winner 2020 for excellent academic and extra curricular throughout Manipal University
🔸 Invited for 'Tea with the Director' in recognition of achieving honours and enhancing the reputation of the institute during the years 2016-2019.
🔸 Winner of 1st MIT Chess Championship 2019 among 76 participants.
🔸 Represented Manipal University in All India South Zone Inter University Chess tournament and finished as the 4 th Best Team among 125 teams.
🔸 Part of Chess Team securing Gold Medal in Inter Mahe Collegiate Chess Tournament - 2016,2017 and 2018.
Achievements
- Working Committee at IE-CSE & IAESTE Manipal, Management Committee Member at IEEE, Core Committee Member at ACM-MIT (2016-2020); in association with 50+ team members, conducted workshops attended by 1600 students on topics in Computer Science.
- Co-Founder at International Research Mentorship Forum
- Organizer - TechTatva & Revels Annual Technical & Cultural Fest of college
- 4⭐ Silver Badges & Problem Solving at HackerRank/GFG etc
- Apprenticeship Build for Digital India Trainee by Google
- Campus Ambassador - Coursera 🔹 Helped the Manipal Global MAHE team to achieve the goals and receive the award for “Delivering Best Learning Outcome” in 2018 for meeting and exceeding all global benchmarks used by Coursera to monitor performance.
Hobbies
Swachh Bharat Mission
Gov of India - https://swachhbharat.mygov.in/
100 Hours of Swachhata' jointly launched by Ministry of Human Resource Department and Ministry of Drinking Water and Sanitation , Government of India carried out the following activities in and around the villages of Palimar , Karnataka for rural sanitation and promoting cleanliness in the villages .
▪️ Conduct door-to-door meetings to drive behaviour change with respect to sanitation behaviours.
🔸 Local Guides - global community of explorers who write reviews, share photos, answer questions, add or edit places, and check facts on Google Maps.
🔸 Millions of people rely on such contributions to navigate and explore the world.
🔸 I enjoy being a local guide since years now. Especially the gratitude from people you have helped correcting or adding their business / street is very rewarding.
Certifications & Badges
Natural Language Processing
Dataquest's Data for Social Good Scholarship
CCNA - Cisco Certified Network Associate Training Program
Cisco
Complete Chatbot using Rasa Python NLP
Udemy
Executive Data Science Capstone
John Hopkins University
AWS DeepRacer : Driven by Reinforcement Learning
Amazon Web Services
AWS ML '21, SUSE Cloud '21, Nutanix Hybrid Cloud '20, Bertelsmann Scholarship '19, Intel Edge AI '19
Udacity Scholarship
Fundamentals of Digital Marketing
Google Digital Unlocked
Data Scientist - Building Web Apps using Shiny in R
