Barani
As an ambitious and curious analyst, I thrive on independently dissecting complex financial data to uncover actionable insights. My logical approach and resourcefulness enable me to navigate challenges and drive pragmatic solutions in equity research.
Experience
Equity Research Analyst
Harion Research · Dec 2025 – Feb 2026
- Engineered automated Python data pipelines (Pandas, NumPy) to ingest multi-source equity market data, track performance metrics, and ensure 100% data consistency for downstream analysis workflows.
- Applied technical and fundamental analysis to identify key trading signals (momentum, support/resistance) and translated raw financial data into structured, research-grade analytical reports for institutional clients.
- Practised rigorous data validation and audit workflows, maintaining clean, reproducible analyses — discipline directly transferable to production ML observability and data quality standards.
Equity Research Analyst Intern
Harion Research · Dec 2025 – Feb 2026
- Built and maintained Python data pipelines for structured financial datasets end-to-end ETL covering extraction, transformation, validation, and QA under tight deadlines.
- Delivered data-driven stakeholder reports translating complex quantitative findings into clear, structured business narratives for research leadership.
Data Specialist
Ednue Technologies · Jun 2025 – Jul 2025
- Designed and executed end-to-end ETL workflows: ingested raw CSV datasets (sales and automotive), cleaned inconsistencies with Python, transformed into analysis-ready formats, and loaded into structured repositories.
- Built complex SQL queries to extract actionable insights on pricing trends, revenue patterns, and customer behaviour signals from multi-dimensional business datasets.
- Delivered Matplotlib/Seaborn visualisations and business-ready reports; applied predictive modelling to automotive data for revenue forecasting, demonstrating full analytics lifecycle from data ingestion to insight delivery.
Data Analytics Intern
Ednue Technologies · Jun 2025 – Jul 2025
- Designed ETL workflows in Python and SQL for multi-domain datasets collected, cleaned, transformed, and loaded structured data into PostgreSQL with QA at every stage.
- Built and benchmarked Scikit-Learn regression models (Linear Regression, Random Forest) using MAE and RMSE for car price forecasting; delivered interactive dashboards and reports to stakeholders.
- Performed audience segmentation and trend identification across sales datasets presented findings to cross-functional teams in plain business language.
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Education
B.Sc., Data Science
Sathyabama University · 2023 — 2026
Projects
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