Soham Hanra
Dombühl
Summary
Experienced Masters student specializing in Data Analysis and Data Forecasting. Adept at learning and honing skills in data analytics, driven by a passion for extracting valuable insights from intricate datasets. Recognized for a self-directed and enthusiastic approach, consistently achieving exceptional results in both independent and team-oriented settings. Demonstrated ability to excel independently and collaborate effectively on group projects, thriving in fast-paced environments that demand individual initiative and teamwork.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Master Thesis Student in Machine Learning Data Forecasting
Hochschule Ansbach
04.2024 - 09.2024
- Pre -processing the data to handle missing values, outliers, and normalization
- Performed exploratory data analysis (EDA) to understand the characteristics and patterns within the data
- Implemented Forecasting models like ARIMA, Exponential Smoothing and also test data based on RNN model for forecasting
- Evaluating models using appropriate metrics like RMSE, MSE, MAPE on the validation and test sets
- Compare the performance of different models using the evaluation metrics
- Analyzing the impact of various feature engineering techniques on model performance
- Identify the strengths and weaknesses of each model in the context of the frequency of datasets
- Assessing the performance of predictive models using appropriate evaluation metrics and fine-tuning model parameters to improve accuracy and efficiency
Student Assistant in Smart Energy Systems
Hochschule Ansbach
11.2022 - 03.2023
- Developed and implemented Python algorithms for energy demand forecasting, contributing to accurate predictions and optimal resource planning.
- Analyzed historical energy consumption data to identify patterns and trends, enhancing the precision of forecasting models.
- Assist in building simple models for forecasting trends.
- Perform exploratory data analysis (EDA) to summarize key metrics and visualizations.
- Document data processes, methodologies, and steps taken for analysis.
Junior Engineer
Om Fabricators
11.2019 - 03.2021
- Monitored the supply of raw materials and managed stock
- Conducted data analysis for energy consumption in the workshop
- Managed documentation and product processing
- Supervised welding and material processes
Apprentice Engineer
Siemens Limited
10.2018 - 10.2019
- Analyzed energy usage and identified opportunities for energy efficiency
- Implemented energy-saving measures resulting in a 30% reduction in energy consumption
- Analyzed machine breakdown time to optimize machine energy consumption
- Conducted tool calibration and machining process configuration
- Assisted in safety audits and coordinated workshop preparations to ensure compliance with regulatory standards and safety protocols
Education
Master of Science - Smart Energy Systems
Hochschule Ansbach
Feuchtwangen, Germany10.2024
Bachelor of Engineering - Mechanical Engineering
Parul Institute of Engineering and Technology
01.2018
Skills
- PL-SQL
- Python
- Data analysis
- LabVIEW
- Mat Lab
- Jupyter Notebook
- MS Office
- Solid Works
- JiRA
- Google Colab
- MS Powerpoint
Languages
English
German
Projects
- 3D-Printed Mechanical Hand Press Designed with Solid Works, Created a mechanical hand press utilizing a 3D printing apparatus, accomplished through the design and modeling of components using Solid Works.
- Developing an Intelligent Home Automation System via Lab VIEW Programming for Enhanced Energy Efficiency and Optimization, Engaged in a project focused on creating an intelligent home automation system using Lab View programming. Analyzed and utilized annual household heat and electricity consumption datasets to enhance energy efficiency. Implemented energy optimization strategies to achieve optimal outcomes and established mechanisms for energy storage.
- Geographical Image Classification Using CNN and Comparative Analysis with VGG-16 Model, Worked on a project for the classification of ten different kind of geographical Images using CNN and then compare it with VGG-16 model for better accuracy.
- Leveraging XG Boost Algorithm for Predictive Analysis of Patient Ailments using a Comprehensive Dataset, Engaged in a project dealing with utilizing a dataset to discern and forecast patient diabetes through the implementation of an XG-Boost algorithmic model.
Personal Information
- Date of Birth: 06/16/96
- Nationality: India
- Hobbies : Football , Travelling
Certification
Time Series Forecasting
Python
Timeline
Master Thesis Student in Machine Learning Data Forecasting
Hochschule Ansbach
04.2024 - 09.2024
Student Assistant in Smart Energy Systems
Hochschule Ansbach
11.2022 - 03.2023
Junior Engineer
Om Fabricators
11.2019 - 03.2021
Apprentice Engineer
Siemens Limited
10.2018 - 10.2019
Bachelor of Engineering - Mechanical Engineering
Parul Institute of Engineering and Technology
Master of Science - Smart Energy Systems
Hochschule Ansbach
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