Summary
Overview
Work History
Education
Skills
Certification
Languages
Academic Projects
Timeline
Generic
Teja Bokka

Teja Bokka

Berlin

Summary

Results‑driven Data Analyst/Engineer and passionate about delivering outstanding quality and service.Offering 2 years of experience in industry with history of recognition with a proven track record in applying statistical methods, resolving data issues, and delivering actionable insights to optimise operational costs and processes. Adaptable team player with strong analytical and problem‑solving abilities.

Overview

4
4
years of professional experience
1
1
Certification

Work History

Data Analyst Intern

BOSCH CONNECTED INDUSTRY (BCI)
12.2024 - 05.2025
  • OptimisedDesigned and automated ETL workflows using SQL and Python to extract, transform, and clean large datasets from Azure SQL Database, MongoDB, Oracle, Elasticsearch, and Aiven, ensuring data accuracy.
  • Optimized ETL workflows using Apache Airflow and Azure Data Factory/DBT, achieving 20% reduction in manual processing time and 25% improvement in SQL query performance through indexing and partitioning.
  • Successfully migrated on-premise ETL processes to Azure cloud infrastructure, reducing operational costs by 30% while improving system reliability and scalability.
  • Integrated real-time data pipelines with Power BI for automated BI reporting and implemented monitoring using Apache Airflow logs and Azure DevOps YAML, reducing pipeline failures by 40%.
  • Calculated and analysed operational costs while interpreting financial data to produce actionable insights, KPI metrics, and executive dashboards for strategic business initiatives.
  • Established proactive monitoring and automated alerting systems for data pipeline health checks, significantly improving system reliability and enabling real-time issue resolution.
  • Optimised SQL queries for faster processing times, increasing overall productivity within the team.
  • Identified trends and patterns in complex datasets through exploratory data analysis, leading to actionable insights.
  • Enhanced data visualisation capabilities for better decision-making with the use of advanced BI tools.

Engineering Analyst

ADITYA PRECITECH PRIVATE LIMITED
03.2021 - 12.2022
  • Leveraged SQL, Python, and ETL frameworks to transform raw engineering and operational data into structured formats, ensuring data integrity and rapid stakeholder access.
  • Conducted advanced statistical analyses (regression, variance) on KPIs to identify trends and risk factors, driving a 15% improvement in market positioning.
  • Designed, developed, and automated real-time interactive dashboards in Tableau and Power BI, enhancing decision-making efficiency by 15%.
  • Created compelling data visualizations (charts, graphs, infographics) and data storytelling narratives, boosting stakeholder engagement by over 20%.
  • Collaborated cross-functionally with engineering, product, and sales teams to gather and document business and technical requirements, translating them into actionable technical specifications.
  • Identified and optimized process bottlenecks through automation scripts and best practice frameworks, streamlining workflows and reducing cycle times.
  • Mentored junior analysts in SQL, Python, and data visualization methodologies, fostering continuous learning and knowledge sharing.

Education

Master of Science - Digital Engineering

Otto Von Guericke Universität
Germany
02-2026

Bachelor of Technology - Mechanical Engineering

Jawaharlal Nehru Technological University
Hyderabad
07.2021

Skills

  • Programming & Scripting:
    Python, R, SQL, DAX, MATLAB
  • BI & Visualization:
    Tableau software, Power BI, DAX, Streamlit, Pivot tables, Data storytelling
  • Cloud & Infrastructure:
    Microsoft Azure, GITLAB, Oracle DB, MongoDB, Apache Spark, Snowflake,dbt
  • Collaboration:
    Microsoft Office Suite, JIRA, Miro,Figma, Notion, Business analysis
  • Analytics & Modelling: Data mining, Predictive analytics, Predictive modelling, Statistical simulation, Time series analysis, Machine Learning, Model‑based BI, Data modelling

Certification


  • BI Data Analyst, CodeCademy, 66C892601A
  • Knowledge Graphs for RAG, DeepLearning.AI
  • LangChain for Data, DeepLearning.AI
  • Data Analytics Essentials, Cisco, 5wHrDovYLzjt7QpZ4

Languages

English (Fluent)
German (Elementary Proficiency)
Hindi
Telugu

Academic Projects

Academic Projects

  • Digitalization & Real-Time Data Management: Developed a computer-vision OpenCV system with Streamlit and GCP for real-time data digitalization and analytics, slashing workflow time by 80%. 08/2023 - 02/2024
  • Industry 4.0 Transformation: Integrated IoT, Big Data and ML to build custom SWOT reports and interactive dashboards, boosting process efficiency and predictive maintenance insights.
  • Motorcycle Helmet Detection: Developed a YOLO- and NMS-based detection system in Python using NumPy and Pandas, achieving 83% accuracy in identifying helmet use to enhance road safety. 04/2023 - 08/2023
  • Simulation Modeling: Created MATLAB & AnyLogic and Python-based simulation models to forecast equipment degradation and optimize maintenance schedules, achieving 85% KPI prediction accuracy. 09/2022 - 01/2023
  • Predictive Modeling for Healthcare: Implemented end-to-end ML pipelines in Python—using decision trees and SVMs—to diagnose diseases and recommend treatments with 85% accuracy.

Timeline

Data Analyst Intern

BOSCH CONNECTED INDUSTRY (BCI)
12.2024 - 05.2025

Engineering Analyst

ADITYA PRECITECH PRIVATE LIMITED
03.2021 - 12.2022

Master of Science - Digital Engineering

Otto Von Guericke Universität

Bachelor of Technology - Mechanical Engineering

Jawaharlal Nehru Technological University

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Teja Bokka