Saurabh Pandey
Data Analyst @ Innefu Labs | Ex-Airtel | Specialized in Revenue Growth & Predictive Analytics | Python • SQL • Power BI • AWS | AI-Driven Analytics & ETL Pipelines | Immediate Joiner.
- Role
- Senior Data Analyst at Innefu Labs
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Saurabh Pandey
I turn data into decisions—and problems into possibilities.Hi, I’m Saurabh Pandey, a Data Analyst with over 3 years of experience uncovering actionable insights from complex datasets in the telecom and tech industries.And on my Current organization as Innefu Labs, I am working as a Data Analyst to work with large amount of Telecom Data to analyse the movement behaviour of the user and it\'s call logs Analysis using Python, pandas, MySQL, AWS, and Power BI. At Bharti Airtel, I help ensure network reliability and performance by building real-time dashboards and tracking KPIs like latency, packet loss, and bandwidth utilization—leading to a 15% boost in operational efficiency and a 10% reduction in production costs by applying the Machine Learning Algorithm on our Airtel Xtream Apps (Online Entertainment plateform) to reduce the customers chunks rate from last years.My journey began in web development, where I honed my backend technology and database skills at Magazine3 Technology. There, I developed features, managed relational databases, and resolved client issues. This foundation sparked my passion for data, analytics, and optimization.Armed with tools like Python, SQL, Power BI, and Excel, I specialize in transforming raw data into meaningful narratives. Whether it’s visualizing performance bottlenecks or creating dashboards that guide executive decisions, I love making complex things simple—and useful.
Experience
Senior Data Analyst
Aug 2025 — Present · New Delhi, IN
Utilize MySQL, Python, to extract, clean, and prepare large datasets for detailed analysis and reporting.Perform comprehensive statistical analysis to identify trends, anomalies, and actionable insights that support network optimization, fraud detection, forensic analysis and business strategy.Communicate findings effectively to both technical teams and business stakeholders, ensuring clarity and impact through strong communication and collaboration skills.Apply critical thinking and problem-solving skills to interpret complex datasets and provide strategic recommendations.Support regulatory compliance and auditing processes by generating accurate telecom data reports.Collaborate cross-functionally with network engineers, business analysts, and compliance officers to align analytics with organizational goals.Leverage knowledge of machine learning techniques where applicable to enhance predictive analytics and telecom data modeling.Maintain high attention to detail in data handling, report accuracy, and documentation of methodologies.
Education
Central Board of Secondary Education
Intermediate
Motivational Pathway
Bachelor of Technology - BTech, Computer Science
2018 — 2022
Coursera
Google Certified Data Analytics
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