I'm a developer who specializes in data engineering, software development, and machine learning, with a solid background in Python, Spark, AWS, and mobile app development. I have experience across multiple sectors, including product analysis, cloud services, and cross-platform development, with a proven ability to deliver scalable and efficient solutions. My past roles include working as a Junior Product Analyst at HotelKey and a Data Engineer Intern at LTIMindtree, where I optimized data workflows and automated tasks to improve efficiency. Employment and project experience Junior Product Analyst HotelKey Private Ltd. October 2023 – July 2024 Data Engineer Intern LTIMindtree February 2023 – May 2023 My experience in data engineering and software development, combined with my focus on aligning technology with business goals, sets me apart as a developer who delivers both technical and business value.

Jivesh Dhakate

I'm a developer who specializes in data engineering, software development, and machine learning, with a solid background in Python, Spark, AWS, and mobile app development. I have experience across multiple sectors, including product analysis, cloud services, and cross-platform development, with a proven ability to deliver scalable and efficient solutions. My past roles include working as a Junior Product Analyst at HotelKey and a Data Engineer Intern at LTIMindtree, where I optimized data workflows and automated tasks to improve efficiency. Employment and project experience Junior Product Analyst HotelKey Private Ltd. October 2023 – July 2024 Data Engineer Intern LTIMindtree February 2023 – May 2023 My experience in data engineering and software development, combined with my focus on aligning technology with business goals, sets me apart as a developer who delivers both technical and business value.

Available to hire

I’m a developer who specializes in data engineering, software development, and machine learning, with a solid background in Python, Spark, AWS, and mobile app development. I have experience across multiple sectors, including product analysis, cloud services, and cross-platform development, with a proven ability to deliver scalable and efficient solutions. My past roles include working as a Junior Product Analyst at HotelKey and a Data Engineer Intern at LTIMindtree, where I optimized data workflows and automated tasks to improve efficiency.

Employment and project experience

Junior Product Analyst HotelKey Private Ltd.
October 2023 – July 2024

Data Engineer Intern LTIMindtree
February 2023 – May 2023

My experience in data engineering and software development, combined with my focus on aligning technology with business goals, sets me apart as a developer who delivers both technical and business value.

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Skills

Python
Da
Data Visualization
Da
Data Science
Ha
Hadoop
Java
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Experience Level

Python
Expert
Data Visualization
Intermediate
Data Science
Intermediate
Hadoop
Intermediate
Java
Intermediate
Docker
Beginner
C++
Beginner

Language

Hindi
Fluent
English
Fluent
Marathi (Marāṭhī)
Fluent

Education

Bachelor of Engineering at Yeshwantrao Chavan College of Engineering, Nagpur, India
July 1, 2019 - June 16, 2023
Specialization - Computer Technology
M.Sc in Computer Science at University College Dublin, Dublin
September 9, 2024 - September 16, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Computers & Electronics, Travel & Hospitality
    uniE613 Automation of Data Files
    • Developed a Python-based solution using Pandas to automate data cleaning tasks, reducing processing time by 20 minutes per task. • Integrated automated data extraction and cleaning operations, significantly minimizing human errors and client escalations. • Automated the saving of processed data to AWS S3, ensuring efficient and secure data management.
    uniE613 Car Price Prediction ML Project
    • Developed machine learning models to predict car prices using Linear Regression and Random Forest Regressor. • Analyzed key features such as year, mileage, engine size, and fuel type to improve prediction accuracy. • Achieved significantly lower Mean Squared Error and higher R-squared values with the Random Forest model. • Utilized Python, scikit-learn, Pandas, and NumPy for data preprocessing and model evaluation

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