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Arun Kumar Jallepalli

Data Analyst | AI/ML Engineer | Data Scientist l Data engineer |

India

< 1 year of work experience

Bold Analytics
Apr 20263 mosJun 2026

India

B100 Intelligence - Fundamental Analysis for Stock Market Listed Companies Developed a financial intelligence and business analytics solution for analyzing Nifty 100 listed companies as part of my internship at Bold Analytics. The project converts historical company financial data into structured insights for investment research, sector comparison, financial health analysis, growth tracking, debt monitoring, and shareholder return evaluation. Key contributions: • Extracted, cleaned, transformed, and standardized financial data using Python and Pandas. • Designed a PostgreSQL star-schema data warehouse hosted on Neon for analytics-ready reporting. • Calculated key financial indicators including Debt-to-Equity, Net Profit Margin, Free Cash Flow, Cash Conversion Ratio, Interest Coverage, Equity Ratio, and Return on Assets. • Developed company health scoring using profitability, growth, leverage, cash flow, dividend, and trend indicators. • Built 7 interactive Power BI dashboards: 1. Executive Market Overview 2. Company Deep Dive 3. Sector Comparison Analyzer 4. Financial Health Scorecard 5. Growth & Valuation Analytics 6. Debt & Leverage Monitor 7. Dividend & Shareholder Returns • Created dashboard views for comparing companies, sectors, revenue trends, profitability, debt risk, dividend performance, and financial health scores. Technologies used: Python, Pandas, PostgreSQL, Neon, SQLAlchemy, Power BI, DAX, Docker, Git and GitHub. GitHub Repository: https://github.com/jarun07/b100-intelligence-fundamental-analysis
Bold Analytics
Mar 20264 moJul 2026

Hyderabad

Indian Statistical Institute
May 20252 mosJun 2025

Hyderabad

Leveraged Python and Scikit-learn across 5+ real-world datasets (20,000+ records); executed data cleaning, preprocessing, and EDA resolving 15%+ data quality issues. Engineered Logistic Regression, Decision Trees, and K-Means Clustering models achieving up to 88% classification accuracy, optimised using k-fold cross-validation. Produced model evaluation reports covering Precision, Recall, F1-Score, and ROC-AUC for 3+ models using NumPy, Pandas, and Matplotlib.
GitHub
@jarun07

Arun’s AI Stack

claude
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gemini
gemini
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Wispr Flow
Wispr Flow

Education

GITAM Deemed University

Msc, Data science

GITAM Deemed University

20242 yrs2026
Jagruti Degree and P.G college, Hyderabad

Bachelor of Science, Mathematics Statistics and Data Science

Jagruti Degree and P.G college, Hyderabad

20204 yrs2024

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Headline

Data Analyst | AI/ML Engineer | Data Scientist l Data engineer |

About

Data Analyst &amp; AI/ML enthusiast with 4 months of internship experience. Skilled in Python, SQL, Power BI, Machine Learning, and Generative AI. Passionate about turning data into meaningful insights.

Location

India

AI stack

claude

gemini

hugging face

huggingface

Wispr Flow

Work experience

Data Analyst Intern at Bold Analytics, Apr 2026 - Jun 2026 · 3 mos, India, B100 Intelligence - Fundamental Analysis for Stock Market Listed Companies Developed a financial intelligence and business analytics solution for analyzing Nifty 100 listed companies as part of my internship at Bold Analytics. The project converts historical company financial data into structured insights for investment research, sector comparison, financial health analysis, growth tracking, debt monitoring, and shareholder return evaluation. Key contributions: • Extracted, cleaned, transformed, and standardized financial data using Python and Pandas. • Designed a PostgreSQL star-schema data warehouse hosted on Neon for analytics-ready reporting. • Calculated key financial indicators including Debt-to-Equity, Net Profit Margin, Free Cash Flow, Cash Conversion Ratio, Interest Coverage, Equity Ratio, and Return on Assets. • Developed company health scoring using profitability, growth, leverage, cash flow, dividend, and trend indicators. • Built 7 interactive Power BI dashboards: 1. Executive Market Overview 2. Company Deep Dive 3. Sector Comparison Analyzer 4. Financial Health Scorecard 5. Growth & Valuation Analytics 6. Debt & Leverage Monitor 7. Dividend & Shareholder Returns • Created dashboard views for comparing companies, sectors, revenue trends, profitability, debt risk, dividend performance, and financial health scores. Technologies used: Python, Pandas, PostgreSQL, Neon, SQLAlchemy, Power BI, DAX, Docker, Git and GitHub. GitHub Repository: https://github.com/jarun07/b100-intelligence-fundamental-analysis

Data Analyst at Bold Analytics, Mar 2026 - Jul 2026 · 4 mo, Hyderabad

Machine Learning Intern at Indian Statistical Institute, May 2025 - Jun 2025 · 2 mos, Hyderabad, Leveraged Python and Scikit-learn across 5+ real-world datasets (20,000+ records); executed data cleaning, preprocessing, and EDA resolving 15%+ data quality issues. Engineered Logistic Regression, Decision Trees, and K-Means Clustering models achieving up to 88% classification accuracy, optimised using k-fold cross-validation. Produced model evaluation reports covering Precision, Recall, F1-Score, and ROC-AUC for 3+ models using NumPy, Pandas, and Matplotlib.

Education

Msc, Data science, GITAM Deemed University

Bachelor of Science, Mathematics Statistics and Data Science, Jagruti Degree and P.G college, Hyderabad

Public links

github: https://github.com/jarun07