About
Data Scientist & Analyst with hands-on experience in BI report migration, predictive modelling, and data validation automation. Led end-to-end migration of 500+ Cognos reports to Power BI for a Fortune 500 tyre manufacturer, delivering paginated reports via Power BI Report Builder and building an automated Streamlit-based data validator. Strong track record in machine learning model development (85–90% accuracy), SQL-driven data engineering, and cross-functional collaboration. Seeking Data Science / Data Analyst roles to drive data-driven decisions at scale.
Skills & Expertise (33)
Work Experience
Data Scientist / BI Developer
Sigmoid
Oct 2024 - Oct 2025
Spearheaded end-to-end migration of 500+ enterprise reports from IBM Cognos to Microsoft Power BI, driven by IBM discontinuing Cognos services after October 2025, ensuring zero disruption to business reporting. Extracted and executed complex SQL queries from Cognos on Snowflake, transformed and imported data into Power BI, and applied Power Query Advanced Editor (M Query) corrections to precisely replicate Cognos visual structures, resulting in faster data refresh and consistent reporting. Resolved replication challenges for 500+ complex paginated reports using Power BI Report Builder, enabling accurate recreation of layouts not feasible in standard PBI Desktop. Implemented report rationalisation by consolidating redundant reports with identical column structures into unified, parameterised reports with dynamic filters (region, product, etc.), significantly reducing resource consumption and maintenance overhead. Applied client-mandated PBI templates (fonts, themes, colour palettes, dimensions) consistently across all migrated reports to meet Goodyear's brand and compliance standards. Built an automated data validation platform using Streamlit to compare Excel outputs from Cognos and Power BI side-by-side, enabling QA teams to instantly verify data parity and flag discrepancies. Collaborated with the Data Engineering team to consume data models and cubes prepared for PBI ingestion, ensuring seamless data pipeline integration. Leveraged Power BI Desktop, Power BI Report Builder, IBM Cognos, Snowflake, SQL, Streamlit, Python, and Excel to build and maintain data visualizations and validation tools, enhancing reporting efficiency for stakeholders.
Data Science Intern
City Union Bank
Jan 2024 - Jun 2024
Collaborated with a data science team to design and implement an attrition prediction model for bank accounts using SQL, PL/SQL, NumPy, and Pandas in Jupyter Notebook, enabling early identification of at-risk accounts. Used PL/SQL, NumPy, and Pandas to develop and deploy statistical and machine learning algorithms, improving data processing efficiency by 30%. Analyzed transaction trends with SQL queries and visualized patterns in Seaborn to forecast account status changes, delivering insights that guided the bank’s retention strategy and reduced projected churn. Achieved model accuracy of 85% in predicting account attrition with precision of 87% and recall of 85%.
Education
M.Sc. (Hons.), B.E. (Hons.), Chemistry, Chemical Engineering - BITS Pilani – K.K. Birla Goa Campus
2019 - 2024 · Afghanistan
Certifications
HackerRank SQL Certification
· 2024
Finlatics Data Science with Python Certification
· 2024
Finlatics Letter of Recommendation
· 2024
Interested in this developer?
Profile Score Breakdown
Profile Overview
Skills (33)
Click a skill to find developers with the same skill
