GAUTAM VORA

Data Analyst | Machine Learning Engineer
Surat, IN.

About

Highly analytical and results-driven Data Analyst with 2+ years of experience in leveraging Python, Machine Learning, and Power BI to transform complex data into actionable insights and optimize business processes. Proven ability to develop predictive models, including one that enhanced price prediction accuracy by 5%, and design interactive dashboards that reduced reporting time by 30%. Eager to apply advanced analytical skills, technical expertise, and a strong problem-solving approach to drive data-driven strategies in a dynamic organization.

Work

Evify Logitech Pvt Ltd
|

Data Analyst

Surat, Gujarat, India

Summary

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

Highlights

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.

Finestar Jewellery & Diamonds Pvt Ltd (Vaghasiya Enterprise)
|

Data Analyst

Surat, Gujarat, India

Summary

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

Highlights

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%.

Ineuron
|

Data Analytics Intern

N/A, N/A, N/A

Summary

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.

Highlights

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.

Oasis Infobyte
|

Data Science intern

N/A, N/A, N/A

Summary

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.

Highlights

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.

The Sparks Foundation
|

Data Science & Business Analytics intern

N/A, N/A, N/A

Summary

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

Highlights

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.

Education

Veer Narmad South Gujarat University
Surat, Gujarat, India

Master of Science

Mathematics

Grade: CGPA 7.08

Sir P.T. Sarvajanik College of Science
Surat, Gujarat, India

Bachelor of Science

Mathematics

Grade: CGPA 8.84

Awards

TCS NQT - IT

Awarded By

Tata Consultancy Services (TCS)

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.

Languages

English
Hindi
Gujarati

Certificates

Google Data Analytics Professional Certificate

Issued By

Coursera - Google

Complete Data Science, Machine Learning, DL, NLP Bootcamp

Issued By

Udemy

Supervised Machine Learning : Regression and Classification

Issued By

DeepLearning.AI (Stanford)

Python for Data Science

Issued By

IIT-M (Swayam)

SQL Advanced Certificate

Issued By

Hacker Rank

Skills

Programming Languages

Python, SQL, R, MATLAB.

Data Science Libraries & Frameworks

Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Streamlit.

Databases

MySQL, PostgreSQL, MongoDB.

Business Intelligence & Analytics

Power BI, Tableau, Advanced Microsoft Excel, Google Analytics, Microsoft Office.

Development Tools & Cloud Platforms

Jupyter Notebook, VS Code, Pycharm, Git, GitHub, Docker, AWS, Azure, CI/CD.

Soft Skills

Communication, Problem Solving, Leadership, Adaptability, Teamwork, Presentation, Time Management.

Projects

Medical Insurance Prediction Using Machine Learning

Summary

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

Google Play Store Analysis Using Python and Power BI

Summary

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

Digital Music Store Analysis Using SQL

Summary

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