Headline

AI Data Analyst

About

Data Analyst with 3 years of experience building automated data pipelines, working with marketplace APIs (Amazon SP-API), and turning raw data into actionable business insights. Strong in SQL (stored procedures, views, query optimization) and Python (Pandas, NumPy, Scikit-learn) for data extraction, transformation, and analysis, with Power BI for stakeholder-facing dashboards. Immediate joiner. Most of my work goes beyond standard reporting. At Publiqverse Data Solutions, I built Pandas-based data pipelines pulling from SP-API and scraped marketplace sources, validating data quality and schema alignment to improve analytic accuracy by 40%. I designed an end-to-end automated analytics pipeline — extract, clean, transform, analyze, report — with daily refresh schedules, cutting manual research time by 85% and giving stakeholders insights 10x faster. On the analysis side, I ran EDA and statistical testing on price elasticity and keyword trends that improved SKU conversions by 12-18%, and built a rule-based + ML-assisted scoring engine to evaluate listing quality, improving it by 35-50% across pilot accounts. I also automated Excel reporting workflows that saved the team ~10 hours a week, and built Power BI dashboards for pricing and category trends that cut decision-making time by 70%. I have a B.Sc. in Mathematics, Electronics & Computer Science from St. Joseph's University, and I'm comfortable working independently across the full data lifecycle — from API data extraction to final stakeholder report. Open to Data Analyst roles, remote or on-site, where I can apply SQL, Python, and automation skills to solve real business problems.

Location

Bengaluru

AI stack

hedra

mistral

notebooklm

obsidian

Work experience

Data Analyst at Publiqverse, May 2023 - Dec 2025 · 2 yrs 8 mos, Remote, • Analyze large datasets using Python, SQL, Excel, and BI tools to generate actionable business insights and support data-driven decision-making. • Develop and automate ETL pipelines, data validation processes, reporting workflows, and business intelligence solutions to improve operational efficiency. • Build dashboards, KPI reports, and performance metrics to monitor business growth, customer behavior, sales trends, and product performance. • Perform data cleaning, transformation, data quality checks, and root cause analysis to ensure accuracy and reliability of business data. • Work with APIs, web scraping, cloud platforms (GCP/AWS), and databases to collect, process, and manage structured and unstructured data. • Leverage AI and machine learning techniques, prompt engineering, and LLM-based solutions to automate workflows and enhance business processes. • Collaborate with cross-functional teams, stakeholders, and business users to gather requirements, deliver insights, and drive process improvements. • Conduct competitor analysis, pricing analysis, forecasting, and trend analysis to support strategic business initiatives. • Optimize reporting systems and automate repetitive tasks, reducing manual effort and improving productivity across teams.

Data Scientist Intern at LEJHRO, Nov 2022 - Apr 2023 · 6 mos, Remote, As a data scientist intern at LEJHRO Technology, I worked on several projects aimed at improving the company's data-driven decision-making processes. I collected, cleaned, and analyzed large datasets using Python and SQL, and created visualizations and dashboards to communicate insights to stakeholders. I also contributed to the development of machine learning models for predictive analytics, using techniques such as regression analysis and decision trees. Through this experience, I gained a deep understanding of statistical analysis, data wrangling, and machine learning, and developed my skills in programming and data visualization.

Education

Bachelor of Science - BS, Mathematics and Computer Science, St Joseph's University