Shavilya Rajput profile photo 1 on Tal

Shavilya Rajput

Data Analyst | Python · SQL · Power BI · Snowflake · Databricks | 2.5 Yrs | ETL · Dashboards · Data Migration

Pune District

3+ years of work experience

Cognizant
Feb 20232 yrs 5 mosJun 2025

Pune District, Maharashtra, India

○ Migrated HR data from legacy systems to Databricks and Snowflake, improving accessibility and reliability for business stakeholders. ○ Streamlined ETL and reporting workflows using optimized SQL queries, reducing manual effort and accelerating data-driven insights. ○ Implemented Excel-based data validation processes, lowering data discrepancies by 25% and ensuring migration accuracy. ○ Performed end-to-end data validation checks that supported seamless and error-free data migration across multiple environments. ○ Developed and executed test cases using SQL and Cognizant’s Data Validation Studio (Jupiter), reducing production errors by 40%.
Cognizant
Feb 20226 mosJul 2022

Remote

○ Underwent structured training on ETL concepts and data warehousing fundamentals using Informatica PowerCenter as part of the enterprise learning curriculum. ○ Gained hands-on exposure to ETL development workflows, including source-to-target mappings, basic transformations, and workflow execution in a controlled training environment. ○ Implemented standard data transformation logic (Filter, Expression, Lookup, Joiner) to support data integration and reporting use cases. ○ Participated in guided exercises, assessments, and project-based learning, strengthening understanding of enterprise data integration processes.
First Tech Consulting
Dec 20213 mosFeb 2022

Remote

○ Built machine learning classification model using Python and Scikit-learn to improve prediction accuracy by 5% over baseline models. ○ Collected data and performed data cleaning activities to reduce noise.
Forsk Technologies
Jan 20213 mosMar 2021

Worked on end-to-end NLP and Machine Learning pipeline to analyze customer sentiment using large-scale E-commerce review data (~14GB, 32M+ records), focusing on real-world business use cases. Performed data cleaning, preprocessing, and feature engineering using Python, Pandas, NumPy, converting raw JSON files into structured, balanced datasets suitable for ML training. Built and trained sentiment classification models using Bag-of-Words and Scikit-learn algorithms, improving prediction stability and reducing bias caused by class imbalance. Designed and deployed an interactive sentiment analysis dashboard using Dash, allowing stakeholders to visualize customer sentiment trends in near real time.

Shavilya’s AI Stack

github copilot
github copilot
hedra
hedra
kimi
kimi
mistral
mistral

Education

Coding Ninjas

Data Analytics Bootcamp, Data Analytics

Coding Ninjas

20241 yr2025

Bachelor of Engineering - BE, IT

PES Modern College of Engineering

20175 yrs2022

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Headline

Data Analyst | Python · SQL · Power BI · Snowflake · Databricks | 2.5 Yrs | ETL · Dashboards · Data Migration

About

Data Analyst with 2.5 years of experience at Cognizant, specialising in ETL development, data migration, and BI dashboard creation. Migrated large-scale HR datasets to Snowflake and Databricks, reducing production errors by 40% through automated data validation using SQL and Python. Skilled in Power BI (DAX), Advanced SQL, Python, and Excel. Built dashboards that reduced manual HR reporting time by 80%. Comfortable working across cross-functional teams to translate data into business decisions. Currently seeking Data Analyst, MIS Analyst, or BI Analyst roles across Pune, Mumbai, Bangalore, or Remote.

Location

Pune District

AI stack

github copilot

hedra

kimi

mistral

Work experience

Programming Analyst at Cognizant, Feb 2023 - Jun 2025 · 2 yrs 5 mos, Pune District, Maharashtra, India, ○ Migrated HR data from legacy systems to Databricks and Snowflake, improving accessibility and reliability for business stakeholders. ○ Streamlined ETL and reporting workflows using optimized SQL queries, reducing manual effort and accelerating data-driven insights. ○ Implemented Excel-based data validation processes, lowering data discrepancies by 25% and ensuring migration accuracy. ○ Performed end-to-end data validation checks that supported seamless and error-free data migration across multiple environments. ○ Developed and executed test cases using SQL and Cognizant’s Data Validation Studio (Jupiter), reducing production errors by 40%.

Programmer Analyst Trainee at Cognizant, Feb 2022 - Jul 2022 · 6 mos, Remote, ○ Underwent structured training on ETL concepts and data warehousing fundamentals using Informatica PowerCenter as part of the enterprise learning curriculum. ○ Gained hands-on exposure to ETL development workflows, including source-to-target mappings, basic transformations, and workflow execution in a controlled training environment. ○ Implemented standard data transformation logic (Filter, Expression, Lookup, Joiner) to support data integration and reporting use cases. ○ Participated in guided exercises, assessments, and project-based learning, strengthening understanding of enterprise data integration processes.

Data Science Intern at First Tech Consulting, Dec 2021 - Feb 2022 · 3 mos, Remote, ○ Built machine learning classification model using Python and Scikit-learn to improve prediction accuracy by 5% over baseline models. ○ Collected data and performed data cleaning activities to reduce noise.

Internship Project at Forsk Technologies, Jan 2021 - Mar 2021 · 3 mos, Worked on end-to-end NLP and Machine Learning pipeline to analyze customer sentiment using large-scale E-commerce review data (~14GB, 32M+ records), focusing on real-world business use cases. Performed data cleaning, preprocessing, and feature engineering using Python, Pandas, NumPy, converting raw JSON files into structured, balanced datasets suitable for ML training. Built and trained sentiment classification models using Bag-of-Words and Scikit-learn algorithms, improving prediction stability and reducing bias caused by class imbalance. Designed and deployed an interactive sentiment analysis dashboard using Dash, allowing stakeholders to visualize customer sentiment trends in near real time.

Education

Data Analytics Bootcamp, Data Analytics, Coding Ninjas

Bachelor of Engineering - BE, IT, PES Modern College of Engineering