Kevalkumar Gajera

Built 12+ Power BI/Tableau dashboards for KPI monitoring and operational reporting. Designed SQL data models supporting analytics across 4 business units. Automated data quality checks using Python/SQL, improving reliability from 73% to 96%. Collaborated with product, sales, and engineering teams to translate business needs into analytical solutions. Reduced ad-hoc requests by ~40% through self-service reporting infrastructure. Documented data definitions and pipeline logic. # Employee of the Year 2024

• Joined Techbros as a Test Engineer on 4G/5G network infrastructure, using TEMS and Xcal tools to validate network performance. • Spent most of my time collecting, cleaning, and structuring large technical datasets (coverage, capacity, QoS metrics) - the data work quickly became the part I found most meaningful. • This experience led directly to an internal role change into the Data Analyst team in April 2023. • Prepared technical performance reports and root-cause analyses for engineering stakeholders.

- First professional data role, started in India after B.Eng. graduation - Continued remotely after relocating to Germany for Master's studies (Oct 2019) - Built Power BI and Excel dashboards, wrote SQL queries for data extraction and transformation - Supported senior analysts on client-facing analytical projects

Learned Core Python and Flask Framework. • Worked on advanced python libraries and concepts like OpenCV, Deep Learning and Machine Learning. • Collected datasets for training model using Tensor-flow. • Courses include: Image Processing, Internet of Things and Wireless Sensor Networks, Topics on Communication.

Thesis: Machine Learning Model for Multiple Election Winners - 87% prediction accuracy using the Kemeny-Young voting method - 25% runtime improvement through feature engineering and hyperparameter tuning - Built in Python (scikit-learn, pandas, NumPy) Key modules: Machine Learning, Deep Learning, Statistics, Data Analysis Techniques All coursework completed March 2022. Thesis delayed due to supervisor availability (common in German universities).

Graduated with First Class with Distinction - CGPA 8.87/10 Key modules: Data Structures, Data Mining, Business Intelligence, Artificial Intelligence