Headline

Data Scientist at Tiger Analytics | AWS Certified | IIT Indore

About

Data Science professional with expertise in Machine Learning, Natural Language Processing, and Advanced Analytics. Experienced in handling large-scale datasets and building scalable, high-performance systems that drive business efficiency and automation. Skilled in developing Gen AI solutions and AI-driven decision making systems. Always eager to tackle complex data challenges and contribute to impactful AI-driven solutions. Feel free to reach out if you have a potential opportunity! We can connect and discuss further.

Location

Bengaluru

AI stack

github copilot

hugging face

langchain

langgraph

mcp

openai

Work experience

Data Scientist at Tiger Analytics, Nov 2023 - Present · 3 yrs 1 mo, Pepsico : AI Auto Smart Ordering -Developing an AI Auto Smart Ordering application to generate orders based on order history, sales, shipments at a product level across 500(POC) Large and Small Format stores for PepsiCo products in USA and Canada. -Responsible for creating Full and Incremental data load pipelines to extract using Spark SQL in Azure Databricks -Developed models at a Store x RSR(Route Sales Rep) x product granularity to predict orders analyzing the RSR behaviour based on SKU velocity. -Created an algorithm to predict promotions based on historical shipments and orders. -Optimized the Inference Order generation pipeline runtime by 4x

Data Scientist at Tiger Analytics, Aug 2023 - Oct 2023 · 3 mos, Stanley Black and Decker : Text to SQL (Gen AI) -Developed a robust chatbot leveraging GPT-3.5 and GPT-4 LLMs to dynamically generate and execute SQL queries based on user input, visualize the results with interactive charts, and extract valuable insights -Developed post processing functions to clean up the SQL query getting out of LLM's and execute them. -Developed an intuitive user interface for the ChatBot using StreamLit, offering a seamless interaction experience for users.

Senior Analyst at Tiger Analytics, Jun 2022 - Aug 2023 · 1 yr 3 mos, -Developer of a codeless ML platform that allows users to build end-to-end ML solutions seamlessly. -Responsible for developing custom feature engineering functions in Pyspark and python and created a library of 80 data transformers which can be used in jupyter notebooks by importing them. -Built a pipeline that initiates unit tests upon code push to the DEV environment, and permits merging exclusively upon successful completion of all unit test cases for the data transformers.

Software Engineer Intern at iNeuron.ai, Sep 2021 - Feb 2022 · 6 mos, Bengaluru, Karnataka, India, Worked on a machine learning problem on Fraud Transaction Detection in the domain of Banking sector and obtained an accuracy of 91.2%. Automated Model deployment by configuring Jenkins enabling CI/CD and hosted services in Azure cloud. Performed shadow-testing to validate the model's performance.

WorldQuant University at WorldQuant University, Sep 2021 - Dec 2021 · 4 mos, Completed Applied Data sicence program offered by WorldQuant and worked on multiple projects in the domain of Machine Learning and NLP.

Education

Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Indian Institute of Technology, Indore

Bachelor of Technology - BTech, Minor in Humanities and social sciences, Indian Institute of Technology, Indore