MOHD ZAEEM KHAN
Essen
Summary
A results-oriented Data Analyst with a strong background in software development and machine learning integration, currently pursuing a Master's in Big Data & Business Analytics. Experienced in data preprocessing, building visual dashboards, and deriving insights from complex datasets. Adept at leveraging tools like Python, SQL, Power BI, and Tableau to drive data-driven decision-making.
Overview
3
3
years of professional experience
5
5
years of post-secondary education
1
1
Certification
Work history
Junior Software Developer
mPhatek Solutions Pvt Ltd
Pune
2022.01 - 2023.06
- Developed and maintained RESTful APIs using Flask to ensure secure handling of sensitive healthcare data.
- Implemented machine learning models to predict diseases, aiming to enhance early detection and treatment strategies.
- Optimised PostgreSQL queries to enhance report generation efficiency by 30%.
- Executed agile sprints and oversaw code repositories using git to ensure robust continuous integration and continuous deployment practices.
Junior Front-End Developer
Infoter Solutions
Mumbai
2020.08 - 2021.12
- Integrated RESTful APIs and GraphQL to display real-time, dynamic business data.
- Developed user-friendly dashboards and reports using Power BI and Tableau, visualizing backend data for non-technical stakeholders.
- Collaborated with backend teams to ensure data consistency, accuracy, and integrity.
- Used version control (Git) and followed Agile practices for ensuring feature delivery.
AI Intern
Lockheed Martin
Abu Dhabi
2020.06 - 2020.08
- Developed facial recognition systems for surveillance drones using Python and OpenCV.
- Analyzed image data for training models and evaluated algorithm performance.
Education
Master's - Big Data & Business Analytics
FOM University of Applied Sciences
Essen, Germany 2024.03 - 2026.02
Bachelor's - Electronics and Telecommunications Engineering
Mumbai University
Mumbai, India 2016.07 - 2019.06
Skills
- Microsoft Power BI
- Microsoft Azure
- Google Cloud
- DAX
- Python proficiency
- R Studio
- SQL
- Excel
- Visual Studio
- Tableau
- Analytical thinking
- Problem Solving
- Time Management
- Service Orientation
- Collaboration
- Excellent Communication Skills
- Cloud computing basics
Websites
Certification
- Post Graduate Diploma: Data Science
- Microsoft Certified: Azure AI Fundamentals
- Google Cloud: Foundations of Cloud Computing
- University of Michigan: Python for Everybody, Data Structures and Algorithms
- Microsoft: Microsoft Power BI Desktop and Services
LANGUAGES
Hindi | Native
English | Advanced
German | Elementary
PROJECTS
Promotion Profitability Optimization Engine (PPOE) Storck Germany:
Built clustering and regression models on FMCG data using Python (scikit-learn, pandas), achieving 98% R ROI accuracy. Designed a rule-based recommendation engine for profitability optimization; visualized insights with Power BI.
Automotive Production & Quality Performance Dashboard:
Built an Automotive Production Performance Dashboard in Power BI analyzing output, downtime, and defect rates across manufacturing lines, enabling identification of quality bottlenecks and improving operational efficiency through OEE-based KPIs.
Retail Sales, Customer & Profitability Analytics:
Developed a Retail Sales & Profitability Dashboard in Power BI, analyzing customer behavior, including discount impact and regional performance to support data-driven commercial decisions.
Financial Controlling: Budget vs Actual Analysis:
Built a Financial Controlling Dashboard in Power BI comparing budget vs actuals, including variance analysis and cost-center reporting to support management decision-making.
Demand Forecasting & Inventory Performance Dashboard:
Designed a Supply Chain Analytics Dashboard in Power BI to evaluate demand forecasts, inventory performance, and forecast accuracy metrics, enabling identification of bias and operational inefficiencies.
HR Workforce & Attrition Analytics Dashboard:
Developed an HR Workforce Analytics Dashboard in Power BI to analyze employee attrition, tenure, and workforce composition, supporting data-driven HR and retention strategies.
Motorsport Data Analysis F1 Engine Sentiment Study (FOM University):
Analyzed 10,000+ Formula 1 fan comments comparing V10 vs Hybrid era engines. Applied Python (BeautifulSoup, TextBlob, pandas) to extract and analyze sentiment analysis. Designed visual dashboards with Matplotlib to track sentiment trends, linking performance perception with innovation.
Timeline
Master's - Big Data & Business Analytics
FOM University of Applied Sciences
2024.03 - 2026.02
Junior Software Developer
mPhatek Solutions Pvt Ltd
2022.01 - 2023.06
Junior Front-End Developer
Infoter Solutions
2020.08 - 2021.12
AI Intern
Lockheed Martin
2020.06 - 2020.08
Bachelor's - Electronics and Telecommunications Engineering
Mumbai University
2016.07 - 2019.06