Priyansh Jhalora Business/Data Analyst

Business Analyst Intern

Meesho

Jan 2024 - Current (2 years 7 months)

• Working with stake holders to understand the business needs and pull meaningful metrics leveraging SQL. • Generating insights from data working with NMV department and currently collaborating Category team keeping a track of various business metrics like AOV, ASP, GMV etc essential in day to day understanding the Meesho's performance as a company.

F

Quantitative Research Engineer

Finesse Advisory Services Ltd

Mar 2023 - Apr 2024 (1 year 2 months)

• Developed 60 metrics to analyse and optimize trading strategies for 635 stocks. • Created the entire environment for operations on GCP. • Built and deployed entire ETL pipelines and API using GCP's compute engine. • Leveraged the capabilities of Vertex AI to perform large scale analysis and production of ML models. • Produced 10+ actionable insights and trend analyses, uncovering the impact of factors like Alpha, trade quantity, slippage, duration window etc, on stock performance. • Leveraged 10+ metrics, such as accuracy, confidence ratio, average positive balance, and maximum trading amount, to uncover patterns and behaviours in stock performance.

C

Data Science Intern

Council of Scientific and Industrial Research CSIR

Nov 2022 - Jan 2023 (3 months)

• Evaluated and selected 11 image-based datasets based on suitability for building a machine learning model for automated airport security. • Curated a new dataset by combining and analysing 11 selected datasets, encompassing over 100,000 X-ray images for developing a robust automated airport security model. • Extracted restricted object images from over 10,000 real-life X-ray images using code.

H

Data Science Intern

Hypergraph editores,

Jun 2022 - Jan 2023 (8 months)

• Verified data output using ID mapping within 10+ data frames from publicly and privately owned user archives of big platforms. • Cross-verified the frequency of vertices for 1000+ individual edges, ensuring accuracy and consistency. • Transformed the entire code from Python v2 to Python v3, optimizing performance and generating more specific results based on subcategory labels and specific years for large datasets like ARXIV, IMDB, etc. • Uploaded the results to an AWS S3 bucket and authored 50+ usage docs for the entire GitHub repository. • Built

Priyansh Jhalora

About

Detail

Timeline

Résumé