Machine Learning Data Scientist

Anirudh Vishwanath

+1-585-***-**** # ********@**.*********.*** ï LinkedIn § GitHub U.S Citizen

Technical Skills

I employ statistical analysis and machine learning to extract insights from complex datasets while developing scalable data pipelines and deploying models. I implement analytical tools to convert intricate data into actionable recommendations, thereby leveraging data-driven insights to bolster operational efficiency and business strategy.

• Languages: Python, R, Java, C++, HTML/CSS, JavaScript, SQL

• Developer Tools: Matlab, Power BI, Tableau, Amazon Sagemaker, Git, Cassandra db, spark.

• Technologies/Frameworks: Linux, Django, PyTorch and TensorFlow. Education

University of Rochester Aug 2024 – Dec 2025 Anticipated Master of Science in Data Science with a merit scholarship of 50% Rochester, NY SRM Institute of Science and Technology Sep 2020 – June 2024 Bachelor of Technology in Computer Science — GPA: 3.5/4 Chennai, India Work Experience

Igeeks Technologies Oct 2022 – Dec 2022

Machine Learning Intern and tutor Bangalore, India

• Created a flight price prediction system and web applications for college students using multiple machine learning models, and Python collaborating to refine their ideas.

• Assisted the research team by analyzing data, tuning models, and validating results to enhance predictive accuracy.

• Utilized Python, sci-kit-learn, and ensemble learning to predict the soccer World Cup winner in 2018 with an accuracy of 89 %.

RDS Digital Feb 2024 – April 2024

Data Analytics Intern Bangalore, India

• Analyzed in-depth market research to identify key competitors, growth opportunities, and industry trends, enabling my company to reach potential business partners and expand its network strategically.

• Developed an article web extraction project that improved market research, content creation, SEO, customer insights, lead generation, product development, and monitoring, facilitating better business decisions and growth.

• Generated reports and visualizations using Excel to support data-driven decision-making. Projects

Solar Intensity Forecasting via Polynomial and Linear Regression on Meteorological Inputs January 2023

• Forecasted solar panel intensity considering local meteorological data.

• Developed and executed polynomial and linear regression models, improved model performance with feature engineering, and evaluated correctness and dependability with strong statistical techniques.

• Achieved accuracy of 89% for the Polynomial model and 80% for the Linear model. Advanced Sales Forecasting with ARIMA, SARIMA, and Enhanced LSTM Models January 2024

• Refined a thorough sales forecasting research project employing LSTM, ARIMA, and SARIMA models to improve inventory control and sales decisions.

• Developed retail sales forecast models using cutting edge technologies that produced an LSTM model with the lowest Mean Absolute Error (MAE) outperforming ARIMA and SARIMA.

• Enhanced LSTM Model emerged as the top performer with MSE: 1.08, RMSE: 1.04, and MAE: 0.86 Multi Programming Code Assistant App Using CodeLlama, LLAMA 2 and LLM March 2024

• Developed a web app to improve user involvement and experience.

• Built the program using LangChain, Gradio, and CodeLlama; also, used efficient internal data and model integration techniques to guarantee seamless performance.

• Created a strong and flexible application that improved user experience and promoted more user involvement. Leadership / Extracurricular

• Awarded a Diploma in Life Skills from Darwin Psychology Centre and Blue Nile Counseling. Assisted individuals with critical thinking, creative thinking, time management, communication skills, and problem-solving.

• Volunteered at SCEAD Foundation India (NGO Organization) and facilitated an education survey; taught Computer Applications and constructed websites to high school kids in India’s slum and government high schools in 2023.

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