Data & Analytics Engineer | SQL · Python · Power BI · ML/AI | Building decision-grade dashboards & pipelines @ Airtel Business | Open to DA · BA · DS · DE roles

Gurugram, Haryana, India

Delhi, India

Chennai, Tamil Nadu, India

Gurugram, Haryana, India

Bachelor of Engineering - BE, Computer Science
CHANDIGARH UNIVERSITY
Intermediate, Mathematics
Milton public school
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Download Tal BossData & Analytics Engineer | SQL · Python · Power BI · ML/AI | Building decision-grade dashboards & pipelines @ Airtel Business | Open to DA · BA · DS · DE roles
Data Analyst · Business Analyst · Data Scientist with 2+ years turning raw telecom data into decisions leadership acts on. At Airtel Business, I own end-to-end analytics: SQL & Python for extraction and modelling, Power BI for 10+ dashboards tracking 25+ KPIs across revenue, churn, and network performance. I partner directly with stakeholders to translate ambiguous business questions into measurable frameworks — then build the reporting layer that makes those answers self-serve. What I build: → Automated operational reports (daily & monthly) replacing manual Excel workflows → KPI dashboards that surface bottlenecks before they escalate to incidents → SQL + Python pipelines cleaning and transforming large-scale telecom datasets → Predictive analysis supporting partner performance decisions Tech stack: SQL · Python (Pandas, NumPy, Scikit-learn) · Power BI · Excel · Data Cleaning · Statistical Analysis · KPI Reporting · ETL basics Domain depth: Telecom | Open to: Data Analyst · Business Analyst · Data Scientist · Data Engineer · ML & AI roles 📩 akshatg989@gmail.com · linkedin.com/in/01-akshatgupta · github.com/guptaakshat2002
Gurugram
Data Analyst at Airtel Business, Jul 2025 - Feb 2026 · 8 mos, Gurugram, Haryana, India, • Built 10+ Power BI dashboards tracking 25+ KPIs across revenue, churn, and network operations — enabling stakeholders to cut reporting review time from weekly to real-time • Automated 15+ daily and monthly operational reports using Python & SQL, eliminating manual data pulls and reducing reporting errors • Identified 3 recurring network bottlenecks through SQL query analysis on multi-million-row datasets, flagging issues 2–3 days before escalation • Collaborated with 5+ cross-functional teams and external partners to define, align, and track performance KPIs • Built ETL workflows in Python to clean and standardise raw telecom data feeds for downstream reporting
Business Analyst at Techstack, Nov 2024 - Jun 2025 · 8 mos, Delhi, India, • Gathered business requirements from stakeholders and translated them into SQL/Python-powered dashboards replacing ad hoc Excel analysis • Analysed 10+ structured datasets using Pandas and SQL to surface decision-relevant KPIs for product and ops teams • Reduced gut-feel decision-making by building a self-serve reporting layer used by 3 departments
ShadowFox Data Science Intern at ShadowFox, May 2024 - Jul 2024 · 3 mos, Chennai, Tamil Nadu, India, This is where I stopped fearing data. • Cleaned messy datasets using Python & SQL • Built dashboards that replaced manual reporting • Supported predictive analytics with real insights
Internship Trainee at Internshala Trainings, Jun 2022 - Jul 2022 · 2 mos, Gurugram, Haryana, India, Achieve knowledge of Data Structure and Algorithm under training which led to gain knowledge of Data Structure and Algorithm and developed Complex calculator that solve complex problem using Data Structure and Algorithm in C .
Bachelor of Engineering - BE, Computer Science, CHANDIGARH UNIVERSITY
Intermediate, Mathematics, Milton public school