Data Analyst | Business Analyst | Power BI Developer | SQL & Python | AI & ML Graduate | Transforming Raw Data into Results

Bengaluru

Karnataka, India

Bengaluru





Bachelor of Engineering - BE, Artificial Intelligence and Machine Learning
Impact College Of Engineering And Applied Sciences
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Download Tal BossData Analyst | Business Analyst | Power BI Developer | SQL & Python | AI & ML Graduate | Transforming Raw Data into Results
I’m a Business & Data Analyst skilled in transforming raw data into clear insights through Power BI, SQL, and Python. With hands-on experience in analytics, machine learning, forecasting, and dashboard development, I enjoy solving real business problems with data. I’ve delivered projects across sales forecasting, churn prediction, sentiment analysis, and clinical data analytics—turning complexity into decisions that matter.
Bengaluru
aistudio
gemini
openai
v0
Data Analyst at Nexlance, Jul 2025 - Present · 11 mos, Bengaluru, Working as a Data Analyst in a start-ups environment, building dashboards, analysing business data, and creating structured documentation (BRDs, workflows). Delivered insights on onboarding performance, SLA tracking, and risk indicators while collaborating with cross-functional teams to support data-driven decisions.
Data analyst intern at Global Quest Technologies, Jan 2025 - Jun 2025 · 6 mos, Karnataka, India, Working as a Data Analyst Intern at Global Quest Technology, gaining hands-on experience in collecting, cleaning, and analyzing datasets using tools like Excel, SQL, and Python. Assisting in building dashboards and reports in Power BI/Tableau to support data-driven decision-making. Managing databases, performing data validation, and ensuring data accuracy. Collaborating with teams to identify trends, optimize business processes, and generate actionable insights while following best practices in data analysis and visualization.
Machine Learning Intern at Karunadu Technologies Private Limited, Sep 2023 - Dec 2023 · 4 mos, Bengaluru, • Built ML classification and forecasting models using Python (Scikit-learn), improving prediction accuracy by 18% through feature engineering • Processed and analyzed 100K+ records, extracting key input variables to support churn risk model development • Performed comprehensive data preparation, exploratory data analysis, and validation enabling stronger ML experimentation cycles • Implemented regression and classification algorithms on real-world datasets, optimizing model performance through hyperparameter tuning • Collaborated with cross-functional teams to translate business requirements into analytical models and deliverables
Bachelor of Engineering - BE, Artificial Intelligence and Machine Learning, Impact College Of Engineering And Applied Sciences