Data Scientist Machine Learning

Vishal Dubey Mumbai +91-885*******

*********@*****.*** Linkedin Github MyPortfolio

Career Objective

Experienced Instrumentation Engineer turned Data Scientist, combining 5 years of engineering expertise with 1 year of ML and data analytics experience. Aiming to apply analytical and machine learning skills to optimize processes, drive business insights, and support data-driven decision-making. Skills

● Programming Languages: Python

● Libraries & Frameworks: NumPy, Pandas, Scikit-learn, TensorFlow, Keras, Flask, NLP, Streamlit

● Data Visualization & BI Tools: Tableau, Power BI, Seaborn, Matplotlib

● Databases & Querying: SQL

Experience

Junior Data Scientist Jan 2024 - Present

Capsheaf Technology Services

Project : AI-Powered Task Management System

Developed an AI-powered task management system that uses NLP and ML techniques to classify tasks and predict their priority based on user behavior, deadlines, and workload. Performed data cleaning, TF-IDF-based feature extraction, and trained Random Forest and XGBoost models with performance evaluation.

Tech Stack: Python, Scikit-learn, XGBoost, TF-IDF, NLP, Pandas, Matplotlib, Git, Google Colab. Instrumentation Engineer Jun 2022 - Dec 2023

Indo-German Petrochemicals Ltd.

Leveraged data insights to optimize preventive maintenance schedules, enhancing equipment reliability by 15% and cutting downtime by 25%.

Instrumentation Engineer Jan 2019 - Apr 2022

Castrol India Ltd.

Analyzed maintenance and production data to identify root causes of equipment inefficiencies, implementing preventive actions that increased production output by 7%.

Projects

SQL analysis of Customers during sales

https://github.com/dvishal47/Customer-Analy sis-using-SQL Performed Exploratory Data Analysis on customer information, orders, payments etc. by performing joins, CTE & window functions and other advanced SQL clauses

Generated Actionable Insights & Recommendations to boost revenue for the retail giant as well as how various modes of payment could be beneficial.

Customer Relationship Management (CRM Analysis)

https://drive.google.com/file/d/1db6mMcw1cBvhTcz6Ft3nzvAt3bMBgy ea/view Optimized data quality by handling nulls and duplicates, generated actionable insights through Matplotlib and Seaborn visualizations, and drove customer segmentation using RFM analysis to enhance understanding of business-customer interactions.

Tech Stack: Python (Pandas, NumPy, Matplotlib, Seaborn), RFM Segmentation Education

Ramrao Adik Institute Of Technology Rait 2017

BE - Instrumentation Engineering

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