Python
Projects
Machine Learning
Projects
Hello! I'm Yerrithathachoppa, a passionate Data Analyst & aspiring ML Engineer from India. I transform raw data into actionable insights that drive smarter business decisions.
Tools and Technologies:
🔹 I use Python to build predictive ML models — from insurance premium forecasting to credit risk assessment. 🔹 Proficient in SQL for data extraction, transformation, and query optimization. 🔹 I work with Jupyter Notebooks, Pandas, Matplotlib, and Scikit-learn to analyze and visualize data.
Areas of Expertise:
🔹 Building end-to-end ML pipelines — regression, classification, and decision tree models. 🔹 Delivering BI dashboards and data analysis for banking, hospitality, and insurance domains. 🔹 Designing clean data visualizations that communicate complex findings clearly.
I believe in continuous learning and hands-on experimentation. From predicting mobile prices to analyzing credit card strategies — I solve real-world problems with data. Let's connect!
Python
SQL
Pandas
Numpy
Machine learning
Domain/Function: Data Analytics / Banking & Finance
S&P Global – Data specialist (Jan 2023 -
Present)
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Developed and Maintained Financial Data Validation Scripts:
Created and maintained Python scripts to validate and analyze financial data,
ensuring compliance with financial reporting standards.
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Acted as primary technical point of contact (POC) for python initiatives,
guiding developers on implementation standards, review logic, resolving
technical blockers, and ensuring alignment with business requirement.
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Utilized data parsing techniques to convert JSON data into Pandas
DataFrames for efficient data manipulation and analysis.
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Implemented error handling mechanisms using try-except blocks to
manage exceptions and ensure smooth execution of data processing tasks.
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Developed custom checks for financial metrics such as Average
Shares, Total Liabilities, and Net Income, ensuring data integrity and
consistency across reporting periods.
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Enhanced Data Comparison and Reporting: Designed functions to
compare current and historical financial data, identifying discrepancies and
ensuring accurate financial reporting.
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Employed advanced logic to determine prior fiscal periods for
accurate historical comparisons.
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Generated detailed error reports highlighting discrepancies in
financial data, including mismatched values and missing mappings.
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Automated Financial Data Checks: Automated the process of checking
for misspelled words in financial reports and ensuring that key financial
metrics are consistently reported.
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Integrated spell check functionality to identify and correct
misspelled words in financial data entries.
Key Technologies: Python, Pandas,
JSON, Data Analysis, Financial Reporting, Error Handling, Data Validation.
S&P CAPITAL IQ (INDIA) PRIVATE LIMITED – Lead Data Analyst (Feb 2015 - Dec 2022)
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Experience in Fundamental Analysis, Financial Research and Balance
Sheet and Income Statement, Cash Flow analysis.
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Collection, Standardization, and validation of corporate annual,
semi-annual, or quarterly financial data from companies’ published reports.
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Delivered on predefined individual and team targets including
delivering outcomes with quality and excellence.
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worked within defined parameters and with supervision to ensure
quality and performance to set standards.
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Keeps up to date in knowledge of content sets. Builds industry
knowledge by understanding industry trends and reporting standards.
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Provides input and ideas for new collection methods and product
enhancements related to the covered content sets. Troubleshoots problems or
issues and provide support to the team.
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Processing of various Securities Exchange Filings which includes
the Annual (10-K), Interims (10-Q), 20-F, 40-F and Press Releases (8-K)
Filings.
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Content collection of financial statements of US Companies like
Income Statement, Balance Sheet, Cash Flow Statement and Per Share Statements
of the companies.
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Analysis of Extraordinary items & their impact on the Earnings
per Share.
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Responsible for the interpretation, analysis and updating of
financial related data on publicly traded companies from various sources.
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Analyzing the financial statements and procure the information in
the area of employee stock benefit schemes, stock options and warrants,
repurchase schemes and assets under management.
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Content collection of Asset under management data from various
financial statements of Banks, Insurance, Brokerage and from other financial
services companies.
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Maintaining quality standards by providing necessary updates &
contributing as a team member towards necessary enhancement in the process and
tool.
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Worked with cross functional teams to provide Root Cause Analysis
to identify the solutions in problem area.
Feel free to get in touch with me. I am always open to discussing new projects, creative ideas or opportunities to be part of your visions.