Business Data Analyst | Turning Data into Insights with Python, SQL & Power BI | Azure Certified

On-site

Mumbai, Maharashtra, India


Noida, Uttar Pradesh, India

Faridabad, Haryana, India

Executive PG Programme, Machine Learning and Artificial Intelligence
International Institute of Information Technology Bangalore

Bachelor of Technology, Electronics and communication
DIT University
Join Pragati and 10k+ other professionals on
Tal is the app where bosses meet engineers & builders directly, without middlemen
Download Tal BossBusiness Data Analyst | Turning Data into Insights with Python, SQL & Power BI | Azure Certified
I turn messy data into decisions people can actually act on. For the past 2+ years as a Business Data Analyst, I've worked at the intersection of raw data and real business outcomes — building ETL pipelines, designing Power BI dashboards, and writing Python and SQL solutions that didn't just look good in a meeting but actually cut processing time, reduced errors, and helped teams move faster. At Acies, I worked with clients in financial services — think large banks and leasing firms — where data quality isn't a nice-to-have, it's everything. I built automated pipelines that reduced data processing time by 40%, dashboards that cut reporting turnaround by 30%, and led UAT cycles that kept production stable across dozens of releases. A lot of my work lived in that unglamorous but critical space — reconciling data, catching discrepancies before they became problems, and making sure the numbers stakeholders trusted were actually trustworthy. What I enjoy most is being the person who bridges the gap between a business question and a data answer. Whether that's a one-off analysis or a system someone relies on every day. My core toolkit: Python (Pandas, NumPy, Scikit-learn), SQL, Power BI, DAX, Excel, and ETL development. Beyond my job, I've been sharpening my edge through AI for Techies — going deeper into Python, Machine Learning, and Power BI, while also getting hands-on with AI, Generative AI, and Agentic AI. I want to bring more than hindsight to the table, and understanding where AI is headed feels like a non-negotiable part of that. I'm currently open to Data Analyst or Business Data Analyst roles where I can keep solving hard data problems for teams that care about getting it right. 📩 Reach me at spragati522@gmail.com or connect directly here on LinkedIn.
New Delhi
Business Data Analyst at Acies, Jan 2023 - May 2024 · 1 yr 5 mos, On-site, Built ETL pipelines using Python (Pandas, NumPy) for Siemens Financial Services, automating data ingestion across multiple data sources, cutting processing time by 40% Designed and deployed Power BI dashboards with DAX for Kotak Mahindra Bank, reducing reporting turnaround from ~3 days to under 1 day Conducted EDA and data transformation using Python, improving reporting accuracy by 25% and eliminating recurring manual errors Performed SQL-based data reconciliation across large financial datasets, resolving 100+ monthly discrepancies before they reached stakeholders Led UAT testing across 10–15 releases, coordinating cross-team fixes that cut post-release defects by 25% and prevented production rollbacks Partnered with business and tech stakeholders to translate requirements into analytical solutions, improving decision-making speed by 15–20%
Associate at Acies, Mar 2022 - Jan 2023 · 11 mos, Mumbai, Maharashtra, India, Built Python-based automation for internal allocation workflows, reducing manual execution time by 50% across weekly cycles. Maintained MIS reporting suite using Excel (pivot tables, VLOOKUP, Power Query) and Power BI, achieving 100% on-time delivery across all tracked projects. Improved project visibility by 30% by standardizing reporting templates used by 3+ project teams.
Data Science Intern at AINE AI, Nov 2021 - Jan 2022 · 3 mos, Developed a clustering algorithm for customer segmentation using Python (Scikit-learn), deployed to improve targeting accuracy for recommendation workflows Preprocessed and analyzed datasets end-to-end, gaining production exposure to ML pipelines and business analytics workflows
Data Science Intern at APTRON, Oct 2018 - Feb 2019 · 5 mos, Noida, Uttar Pradesh, India, • Completed comprehensive training in Python and Machine Learning, enhancing technical proficiency. • Developed predictive models, including a housing price prediction model and an Iris Setosa classification model. • Earned certifications in Python and Machine Learning, validating my skills and knowledge in data science.
Industrial Trainee at ABB, May 2017 - Jun 2017 · 2 mos, Faridabad, Haryana, India, Summer Internship Training on Robot System with ABB Robot Model IRB1520 & IRC5 Controller Project Title - ABB Robot for Arc Welding Application
Executive PG Programme, Machine Learning and Artificial Intelligence, International Institute of Information Technology Bangalore
Bachelor of Technology, Electronics and communication, DIT University