Summary
Overview
Work History
Education
Skills
Languages
PROJECTS
Timeline
Generic
SHASHIDHAR REDDY NIMMAGARI

SHASHIDHAR REDDY NIMMAGARI

Trier

Summary

As a skilled Data Analyst with over two years of relevant industry experience, a proven track record of delivering data-driven insights that drive business success is evident. Expertise in Python, Tableau, SQL, and AI modeling enables the transformation of complex data into powerful strategies that propel organizations to new heights.

Overview

3
3
years of professional experience

Work History

DATA ANALYST

AEINS
04.2022 - Current
  • Led solar module forecasting project using deep learning, resulting in cost-saving of 15% annually.
  • Utilized machine learning, predictive modeling, and data analysis to identify high-potential sales regions in Germany, leading to 12% increase in sales revenue.
  • Proficient in SQL and Python for data cleaning, data visualization, and statistical analysis.
  • Developed interactive Tableau dashboards for workflow efficiency and data visualization.
  • Conducted data quality assurance activities, including data quality assessments and data cleansing.

Masters Thesis

BROSE GROUP
04.2021 - 12.2021
  • Implemented AI and NLP methods to optimize software requirements using machine learning, achieving over 87.5% accuracy in software requirements classification.
  • Demonstrated expertise in machine learning algorithms, including K-means Clustering and Random Forest Classifier.
  • Utilized libraries such as numpy, pandas, and Scikit-learn for efficient data manipulation.

Work Student

BROSE GROUP
10.2020 - 03.2021
  • Proficient in XML data extraction, data processing, and automation using Python.
  • Excel expert in dynamic reporting, pivot tables, and data visualization.
  • Developed custom Excel templates for data integration and reporting efficiency.

Education

Master of Science - International Software Systems Science

OTTO-FRIEDRICH UNIVERSITÄT BAMBERG
Bamberg, Germany
03.2022

BACHELORS - COMPUTER SCIENCE ENGINEERING

VARDHAMAN COLLEGE OF ENGINEERING
India
2018

Skills

  • Programming Languages: Python
  • Data Manipulation: NumPy, Pandas
  • Machine Learning Frameworks: Scikit-Learn, TensorFlow, PyTorch
  • Data Visualization: Matplotlib, Seaborn, Plotly, Tableau
  • Database Management: SQL, NoSQL
  • Big Data Technologies: Hadoop
  • Soft Skills: Problem-Solving, Communication, Collaboration, Project Management, Adaptability
  • Others: Deep Learning, Version Control (Git), Tools and Libraries (Jupyter Notebooks, Excel, Pycharm), Natural Language Processing (NLP)

Languages

English
Bilingual or Proficient (C2)
German
Intermediate (B1)

PROJECTS

Solar Module Forecasting using Deep Learning and Live Updates

  • Developed a solar module forecast system with LSTM deep learning, utilizing TensorFlow and Keras, enabling cost savings and energy efficiency, using Python.
  • Implemented live updates to provide real-time predictions, ensuring the latest information is delivered.
  • Processed and cleaned extensive solar module data across Germany for accuracy and utilized data preprocessing techniques.
  • Achieved high forecast accuracy through rigorous testing and model validation.
  • Demonstrated the project's impact on cost savings and energy efficiency to stakeholders.
  • Continuously monitored and improved the system for long-term effectiveness, incorporating neural networks.

Predictive Analysis for Regional Product Sales

  • Analyzed Germany's regional data, combining socio-economic, geospatial, and demographic factors for strategic product sales decisions.
  • Utilized machine learning to identify regions with high sales potential.
  • Developed predictive models for targeting product sales efforts.
  • Created intuitive Tableau visualizations for clear data insights.
  • Empowered clients with data-driven recommendations to increase revenue.

Tableau Dashboard Design and Server Administration

  • Designed and developed multiple interactive Tableau dashboards for clients, resulting in increased productivity and improved decision-making.
  • Managed Tableau server architecture, including desktop, prep, and virtual machines, ensuring smooth data visualization and reporting operations.
  • Optimized Tableau server performance by regularly monitoring and fine-tuning server configuration settings, reducing system downtime and improving user experience.
  • Provided technical support and training to users, enabling them to fully leverage the capabilities of Tableau and its various features.
  • Streamlined clients’ daily work processes by developing complex dashboards that are currently being used by several professionals in their respective fields.
  • Communicated project progress and results to clients and stakeholders, demonstrating the value and impact of the Tableau dashboards on their operations.

Timeline

DATA ANALYST

AEINS
04.2022 - Current

Masters Thesis

BROSE GROUP
04.2021 - 12.2021

Work Student

BROSE GROUP
10.2020 - 03.2021

Master of Science - International Software Systems Science

OTTO-FRIEDRICH UNIVERSITÄT BAMBERG

BACHELORS - COMPUTER SCIENCE ENGINEERING

VARDHAMAN COLLEGE OF ENGINEERING
SHASHIDHAR REDDY NIMMAGARI