GAUTAM VORA

Currently leads data analysis and machine learning initiatives to enhance sales forecasting and strategic decision-making for Evify Logitech Pvt Ltd.

• Developed and deployed Machine Learning regression models using Python (Pandas, NumPy, Matplotlib, Seaborn, scikit-learn) to predict sales trends, significantly enhancing forecasting accuracy and enabling data-driven business decisions.
• Optimized data analysis, reporting, and decision-making processes by implementing Power BI solutions, leading to enhanced operational efficiency and strategic planning.
• Generated and presented detailed data-driven reports to senior management (Manager and General Manager), fostering strategic discussions and informing critical business decisions.

Delivered comprehensive data analysis and machine learning solutions to optimize price prediction and reporting efficiency for Finestar Jewellery & Diamonds Pvt Ltd.

• Generated actionable insights using Python libraries (Pandas, NumPy, Matplotlib, Seaborn, scikit-learn) to support data manipulation, numerical computation, visualization, and machine learning initiatives.
• Developed data-driven web applications using Python and Streamlit, integrating SQL for efficient data fetching and manipulation to enhance front-end capabilities.
• Improved price prediction accuracy by 5% through the implementation of Supervised and Unsupervised machine learning techniques for a critical Price Prediction project.
• Designed and maintained interactive Power BI dashboards, transforming complex datasets into clear, visually appealing reports and reducing reporting time by 30%.

Conducted comprehensive data analysis for Amazon sales, utilizing Pandas and Power BI to identify key growth drivers and customer behavior during an internship at Ineuron.

• Utilized Pandas for robust data manipulation, cleaning, and visualization to analyze sales performance metrics and customer behavior on the Amazon platform.
• Developed interactive Power BI dashboards to streamline reporting processes and present key sales performance metrics effectively.
• Applied exploratory data analysis (EDA) techniques to uncover critical factors influencing sales growth and customer behavior, providing actionable insights for strategic planning.

Applied machine learning techniques to develop a spam detection system and conducted an analytical study on COVID-19's impact on unemployment rates during an internship at Oasis Infobyte.

• Trained a machine learning model to accurately classify emails as spam or non-spam, enhancing email filtering capabilities.
• Analyzed the impact of Covid-19 on unemployment rates by developing various graphical representations to visualize key economic trends.

Optimized supervised machine learning algorithms to derive actionable insights into user behavior and address key business questions during an internship at The Sparks Foundation.

• Fine-tuned five supervised machine learning algorithms, optimizing their performance for analyzing complex data requirements.
• Translated data analysis into a clear understanding of key trends in user behavior, directly addressing critical business questions and informing strategy.

Developed a predictive system for medical insurance costs using linear regression and machine learning in Python.

Analyzed Google Play Store datasets to understand app performance, market trends, and user engagement.

Analyzed digital music sales data to identify customer spending patterns and popular genres using advanced SQL techniques.

Achieved strong scores in the TCS National Qualifier Test for IT, demonstrating proficiency in Foundation (75.0%), Advanced (61.03%), and Python Programming (60.95%) sections.