Data Analyst Machine Learning

Dinakar S. Murthy (Authorized to work in the USA)

628-***-**** **********@*****.*** LinkedIn Data Portfolio Skills:

Technologies: Python, R, SQL, Matplotlib, Seaborn, Tableau, Sklearn, SciPy, Apache Spark, Jupyter Notebook, MS Excel, MATLAB, Node.js, React, Express, MongoDB, GPT 3.5-Turbo, Git, JSON, Typescript, Pandas, NumPy Concepts: Statistical Analysis, Hypothesis Testing, A/B Testing, ETL Pipelines, Machine Learning, Regression Analysis, Model Optimization, Data Mining, Neural Networks, Facial Recognition, Predictive Modelling, Ensemble Modelling, Forecasting, Classification, React API, MERN Stack, Git Version Control. Professional Experience:

Marketing Data Analyst, San Francisco State University, US. Jul 2024–Present

● Led data-driven digital marketing research initiatives, optimizing strategic data-informed decision-making for SFSU's digital platforms by tracking and analysing key performance indicators (KPIs) through Excel and data visualization tools such as Matplotlib and Seaborn.

● Examined 400,000 keywords from Google Analytics, identifying trends in keyword click-through rates and customer conversion rates; recommended data-driven strategies that improved search engine marketing

(SEM) performance, increasing conversion rates by 40%. Data Analyst, Delivered Korea, US. Jan 2024–May 2024

● Developed and deployed advanced machine learning models using Python (Pandas and NumPy) and OLS regression, applying data science principles such as RFM analysis and A/B testing to forecast sales and measure business performance with a 90% accuracy rate.

● Processed a dataset of over 5 million data points, designing and automating ETL pipelines to ensure data integrity; delivered actionable insights that drove a 15% increase in sales. Data Research Assistant, San Francisco State University, US. Dec 2023–May 2024

● Conducted in-depth research to identify deficiencies in existing sales prediction models for emerging digital startups; developed an innovative prediction model using advanced statistical analysis techniques and data science best practices.

● Achieved 1st Place at the 2024 CSU Research Competition for exceptional presentation of complex research findings; utilized advanced data visualizations and PowerPoint to communicate insights with clarity and impact

Accounts Payable Student Analyst, Associated Students Inc. Jul 2023–Jun 2024

● Designed and implemented a relational database using the star schema in Google Sheets to efficiently manage daily transactional data for the organization; ensured compliance while collaborating with cross- functional departments to meet specialized financial and operational requirements. Data Analyst, Kinetrix Technologies, India. Jun 2021–Jul 2022

● Led the development of a social welfare web application as Project Manager, leveraging Django for backend development and integrating technologies such as Python, SQL, Folium, and Google Maps API; applied data analysis best practices to enhance decision-making and user experience. Education and Certificates:

San Francisco State University

Master of Science (MS) in Business Analytics

PES University

Bachelor of Technology (B. Tech) in Computer Science and Engineering Google Advanced Data Analytics Professional Certificate Projects:

• Employee Attrition Analysis: Developed an end-to-end HR Analytics pipeline using Python to predict employee turnover.

• AI Chat Bot: Engineered and deployed an AI-powered chatbot using GPT-3.5-turbo integrated with a MERN stack (MongoDB, Express.js, React, Node.js).

• PBJ Data Analysis: Developed a PBJ Daily Nurse Staffing Analysis tool using Python and data analysis techniques to process large datasets, assess staffing patterns, and optimize daily nurse staffing levels. Demonstrated expertise in data visualization, statistical modelling, and automation of reporting processes.

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