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Lokesh Jadhav

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Data Analyst & Data Scientist

Adaptable with knowledge of application development, configuration management, database design and managing. Aiming to leverage my abilities to successfully fill the vacancy on your team.

Name: Lokesh Jadhav

Birthday: 25 January 1999

Degree: Master's

Experience: 2 Years

Phone: +91 7709265250

Email: jadhavlokesh25@gmail.com.com

Address: Sant Tukaram Nagar Pimpri Pune-18

Qualification

Education & Expericence

My Education

Master In Computer Application

Pune University | 2020 - 2022

A comprehensive program that has equipped me with advanced knowledge and practical skills in various aspects of computer science and information technology. Throughout my studies, I have gained expertise in Web Development and Data Science and Analytics.

Bachelor In Computer Application

Pune University | 2017 - 2020

A rigorous program that laid the foundation for my career in computer science and information technology. Through this degree, I developed a strong understanding of both theoretical concepts and practical applications in the field.

My Expericence

Backend Developer

Magneto IT Solutions | 2022 - 2024

Integrated third-party APIs into existing web applications to enhance functionality and provide additional features. Utilized PHP, JavaScript, HTML, and CSS to develop and implement software solutions tailored to clients' requirements. Maintained existing databases by optimizing queries for improved performance and troubleshooting any issues that arose.

Python

95%

Data Analysis

90%

PHP

90%

Power BI

80%

Javascript

90%

Machine Learning

90%

Deep Learning

85%

Excel

85%

Swiggy Restaurant Analysis

Ensured data integrity through thorough cleaning and preprocessing. Analyzed key metrics such as restaurant ratings, price ranges, cuisine types, and delivery times. Created detailed visualizations to illustrate data trends. Identified top-performing restaurants and popular cuisines; provided strategic recommendations.

False Alarm Detection

Selected features including Ambient Temperature, Calibration (days), Unwanted Substance Deposition, Humidity (%), and H2S Content (ppm). Implemented a Logistic Regression model with Scikit-learn. Integrated the model for real-time prediction of alarm danger levels

World Population Analysis (1990-2023)

Gathered and cleaned population data using NumPy and Pandas. Conducted exploratory data analysis on key population metrics and trends. Created detailed visualizations with Matplotlib and Seaborn to illustrate trends. Identified significant trends and patterns in global population growth and demographics.

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