Data Scientist Call Center

Manish Singh

E: ********@*****.*** Ph: 650-***-**** LinkedIn: linkedIn.com/in/manish123

EXPERIENCE

****- ******* ****** **********, **** Science Consultant USA

Developed an account matching system to cluster 40,000 accounts into parent organizations using data normalization, identifier-based clustering, and similarity scoring across multiple fields. 2022- 2024 Bharatpe, Principal Data Scientist India

Developed a Digital Affinity model to predict merchant preferences for communication channels, resulting in a 25% increase in lending call center lead conversion and a 5% boost in field capacity.

Created a Loan Propensity model to predict merchant loan approvals, leveraging transaction patterns, location, business category, BharatPe app engagement, and merchant vintage. This resulted in a 3% monthly increase in loan conversions and a rise in gross revenue by 3.84 Crore (approximately $0.4M) per month.

Supported the Merchant Experience team with churn analysis by transcribing merchant feedback using Google Speech API, translating it using Google Translation API, and applying N-gram vectorization and LDA for topic categorization. Identified major churn drivers and refined merchant engagement strategies.

Built a bureau-based risk model by creating approximately 700 bureau variables and refining them to a final set of 30 key variables. Achieved an AUC of 0.7, significantly improving upon the previous bureau-based score of 0.65.

Utilized network analysis to identify and target the top 250 merchant influencers for a loan referral program, enabling potential outreach to over 3,000 merchants within 10 iterations.

Developed an Aadhar Identification and Masking system using Vision Transformer (ViT) models and OCR, automating Aadhar detection, image orientation correction, and masking of sensitive information. Achieved 95% detection accuracy and enhanced data privacy through scalable API deployment.

Developed an image analytics system using Vertex AI's Gemini-Pro to classify shop categories, detect competitors, and determine movability from merchant shop images, winning our annual hackathon event and enhancing business insights. 2020-2022 Vymo, Analytics Manager India

Established and led an 11 membered Analytics team.

Led team to implement analytics solutions for 18+ clients in India, USA, Thailand, and Vietnam, directly communicating with management to deliver daily actionable reports and insights.

Developed user adoption dashboards using Tableau servers. 2018-2020 IIFL Home Loans, AVP Risk Analytics India

Developed predictive credit risk scorecard with machine learning to optimize risk management.

Implemented Early Warning Signals for proactive monitoring, improving collection rates by 5-8%.

Streamlined performance monitoring using Tableau and Power BI dashboards for collection staff, enabling data-driven decision-making scorecards using different Machine Learning algorithms to predict Bounce and Delinquent Accounts. 2016-2017 Rubique, Analytics Manager India

Developed Rubique’s Credit Score based on Ability and Intention of user to repay.

Implemented matchmaking algorithms to show relevant offers to users. 2015-2016 HiGrit.com, Co-Founder India

HiGrit.com is a platform to organize and simplify legal services for Startups and SMEs.

Involved in inception & validation of business, prepared technical specifications and developed the site.

Associated with top Law firms like Amarchand, Kochhar to mentor our business. Also partnered with startup accelerators like CIBA and TLabs. Partnered with more than 100 lawyers for our operations.

The startup was also covered by the top media like TechinAsia, TechCrunch, VCCircle, BusinessWorld, BusinessLine etc. 2013-2014 AMAZON, European Union Headquarters, EU Compliance Specialist Luxembourg

Enhanced process visibility with Data Warehouse tools, saving €15,000/month in inventory holding costs.

Designed a vendor scorecard and internal rating tool for vendors, which helped the retail and compliance team get better visibility.

Automated the process of reaching out to vendors which reduced the cycle time by more than 90%. 2012-2013 AMAZON, European Union Headquarters, Financial Analyst Luxembourg

Developed planning process (OP1 Plan) for Customer Return freight by improvising the model to calculate CPU on product line basis.

Developed an audit system which helped to claim € 559k credit note from LaPoste in response to contractual rates discrepancies being charged by the carrier.

2010-2011 G.S.L, Heavy Engineering, PSU, Management Trainee, Technical department India

Oversaw design and construction of 2 ships worth $280m. 2010 Maritime Research Institute, Summer Analyst (3 Months) Netherlands

Developed mathematical model to analyze deformations of CMA CGM RIGOLETTO, 350-meter-long container ship. Performed intensive data analysis to publish a robust report. 2009 Beluga Shipping GmbH, Summer Analyst (3 Months) Germany

Inspection into the voyage of APL Buoy, the largest in the world, on the ‘Beluga Formation’ ship. EDUCATION

2022- 2024 Master of Applied Data Science (MADS), UNIVERSITY OF MICHIGAN, ANN ARBOR (UMSI), USA

Milestone Project - Artist Style Prediction:

Developed and optimized a deep learning model using ResNet-50 and Grad-CAM for artist prediction from images.

Capstone Project - Text to Video Generation:

Developed a text-to-video generator integrating Stable Diffusion and 3D UNet with attention mechanisms to produce coherent videos from textual prompts.

2011-2012 Master of Science in Management (Grande Ecole)-Year 1, HEC PARIS, FRANCE

Research Associate and HEC Merit based scholarship recipient, Cleared CFA Level 1 2006-2010 Bachelor of Technology (First class Honors), INDIAN INSTITUTE OF TECHNOLOGY, KHARAGPUR, INDIA TECHNICAL SKILLS

Python, SQL, Tableau, Microsoft Office, Git, GCP, Spark, Big Query, Docker, Airflow, Gen AI, Transformer, LLM, Langgraph

Machine Learning algorithms like Regression, Logistic, SVM, Random Forests, Bagging, Boosting, Deep Learning, Transformers, Unsupervised Learning, Dimensionality reduction techniques, Reinforcement Learning and NLP AWARDS

Won the first prize in Hackathon AI Fintech Fusion at Bharatpe.

Awarded ‘Rockstar’ (Individual Category Award) and ‘Grammy’ (Individual Category Award) at Bharatpe.

Awarded ‘Rising Rockstar’ (Individual Category Award) and ‘Walking the extra mile and exceeding the expectations’ (Team Category Award) at Vymo.

Awarded the Best Performing Team Member in IIFL Home Loans on both the Annual Offsite.

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