Data Scientist

LAKSHAY VOHRA

San Francisco, CA *****.*******@*****.*** linkedin.com/in/lakshay-vohra 765-***-**** PROFILE

• Data Scientist with 5+ years of experience in deploying models to production, analyzing large datasets, visualizing & presenting insights, and building product focused solutions for multiple Fortune 100 companies

• Core Competencies: Generative AI, Optimization, Computer Vision, NLP, Machine Learning

• Programming Languages: Python (tensorflow, scikit-learn, Gurobi, LangChain), R, SAS, PostgreSQL, VBA

• Platforms/Tools: GCP (Kubernetes, Vertex AI), AWS (S3, Batch, ECR), Snowflake, Airflow, Docker, Tableau PROFESSIONAL EXPERIENCE

Boston Consulting Group

Data Scientist, AI and Machine learning

San Francisco, CA

July 2022 – Present

• Led the development of multiple GenAI chatbots and deployed them in production, enabling knowledge retrieval

(RAG) over 4k+ diverse set of documents. Utilized several frameworks, including LangChain and Deepeval.

• Developed a routing optimization model and real-time dispatch scheduling pipelines for a trucking company by leveraging Google OR tools and heuristic methods to minimize transportation cost.

• Engineered data pipelines and identified acquisition channels for a large agricultural data aggregator, enabling comparative insights and sustainable farming for 10k+ farmers

• Estimated demand for a crop seeds manufacturer by utilizing satellite imagery (geospatial data) to develop a computer vision crop classification model (semantic segmentation) with 90% mIoU using a U-net architecture

• Designed and implemented a Mixed Integer Programming (MIP) formulation using Gurobi and SAS for a large postal services company to minimize transportation cost, with potential savings of ~$3B ZS Associates (a global professional firm providing analytics consulting services) Decision Analytics Associate Consultant, Pharma-commercial Pune, India

January 2020 – July 2021

• Led a five-member team in a client-facing role, mentored data scientists, and delivered 40+ ad-hoc projects

• Executed promotional response modelling (marketing mix) analyses for multiple clients by setting up GLM regression models in R, enabling them to attribute historical sales to specific marketing channel spend

• Leveraged K-means clustering (in Python) on patient-level promotions data to recommend most profitable segments Decision Analytics Associate, Pharma-commercial November 2017 – December 2019

• Collaborated with a large pharmaceutical client to solve several business problems, including identifying potential adopters, customer segmentation, and building go-to-market strategies for newly launched products

• Designed experiments for multiple clients to measure/compare campaign effectiveness and drive decision making through AB testing

• Built complex and robust data pipelines in Python, SQL, and SAS to investigate and inform client needs EDUCATION

Purdue University

Master of Science in Business Analytics and Information Management Honors: Krannert Scholar (top 5% of the class); Key Courses: Deep Learning, Machine Learning West Lafayette, IN

June 2022

Guru Gobind Singh Indraprastha University

Bachelor of Technology in Mechanical and Automation Engineering Delhi, India

May 2017

CONFERENCE PRESENTATIONS

IP Detective: Patent infringement detection using BERT Proceedings of 2022 Midwest Decision Sciences Conference April 2022

• Created an automatic patent infringement detection system for a medical devices company by leveraging natural language processing transformer models (BERT), reducing costs by 90% LEADERSHIP ACTIVITIES, AFFILIATIONS, HONORS

• Second position at the Tredence Last Mile Hackathon. Predicted repeat orders for a retailer; November 2021

• Ranked in Top 10 among 150+ participants in the ZS Advanced Data Science Hackathon. Solved a supervised learning problem by predicting daily future sales of a multi-brand retail chain; ZS Associates, August 2020

• Chosen as the Innovation Catalyst for simplifying critical operational processes; ZS Associates, March 2019

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