Chanish Agarwal

AI Researcher

Bengaluru, Karnataka, India10 yrs 11 mos experience

Highly Stable

Key Highlights

9+ years of experience in Data Science across multiple industries.
Proven expertise in churn prediction and customer profiling.
Successfully led projects with significant business impact.

Stackforce AI infers this person is a Data Scientist with expertise in Telecom and FinTech industries.

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Skills

Core Skills

Machine LearningData ScienceSoftware Development

Other Skills

AirflowAlgorithmsAnalytical SkillsApache SparkBig DataBig Data AnalyticsCCSSCascading Style Sheets (CSS)Churn PredictionCluster AnalysisCluster ManagementComputer VisionConvolutional Neural Networks (CNN)Core Java

About

Senior Data Scientist with 9+ years of experience across FinTech, Telecom, and Logistics, specializing in machine learning, NLP, geospatial analytics, and AI-driven solutions. Proven expertise in churn prediction, propensity modeling, feasibility prediction, and time-series embedding for customer profiling. Currently at Airtel, leading projects like DBSCAN-based clustering for customer movement analysis and classification models for revenue optimization, driving a projected 3 Cr impact. Skilled in Python, Pyspark, SQL, Supervised and Unsupervised ML, Statistical Analysis, Airflow Automation, Word2Vec, and Big Data distributed databases. Successfully deployed end-to-end AI pipelines, built scalable models, and optimised business outcomes through churn prevention and RTO risk models. Strong experience leading cross-functional teams and delivering production-ready solutions with measurable business impact. Looking for senior-level roles where I can leverage my data science and leadership skills to solve complex problems and create value-driven strategies.

Experience

10 yrs 11 mos

Total Experience

3 yrs 1 mo

Average Tenure

1 yr 7 mos

Current Experience

Aarki

Lead Data Scientist

Nov 2024 – Present · 1 yr 7 mos · Bengaluru, Karnataka, India · Hybrid

Working with DSP Adtech, building sophisticated click, install and purchase models along with MLops tools to maintain daily model deployments, feature parity check, model registry(MLFlow), Data Drift detection(Evidently), model carlibration dashboards, performance dashboard, post-production prediction drift detection, and alert.

PythonMLOpsModel DeploymentFeature EngineeringData Drift DetectionMachine Learning+1

Bharti airtel

Senior Data Scientist

May 2018 – Nov 2024 · 6 yrs 6 mos · Bengaluru, Karnataka, India

Working as a Senior Data Scientist with the world's second-largest telecom company, Building DS products for 330+ million customers in India alone. Collaborating with multiple businesses like prepaid, postpaid, Fast-tag, Marketing, B2B. Delivered products on Broadband High propensity customer, Broadband Feasibility using customer home location(usages based), Semantic text clustering with text embedding using Word2Vec, Prepaid bundle churn prediction, bundle acquisition, Fast tag acquisition, network intelligence, SMS campaign for associated businesses. Working on Big data platforms dealing with billions of data points every day.
Received Employee of the month for bundle churn prediction from Harmeen Mehta(CIO Airtel)

Machine LearningBig DataNLPChurn PredictionCustomer ProfilingData Science

Delhivery

Developer- Technology & Data Science

Oct 2016 – May 2018 · 1 yr 7 mos · Gurgaon, India

Delhivery is leading supply chain business and Unicorn start-up of 2019, Worked there as Data Science Developer. worked on problems like Vehicle routing optimization for the First-mile, Address correction and location identification for poorly written addresses, Predictive algorithm for cash on delivery packages, Google Remote procedure call.

Predictive AlgorithmsVehicle Routing OptimizationData Science

Teramatrix technologies

Associate Sofware Engineer

Jul 2015 – Oct 2016 · 1 yr 3 mos · Gurgaon, India

Python back end development to analyze complex events emanating from sensors, devices, data- streams and users and enable applications for seamless management, integration, and correlation. Extract, Transform and load complex device data from the sensor, devices using the In-Memory database. API in Django Framework for User Application. R&D ETL layer implementation using Apache Spark Streaming. Tech Stack: Python, Django, MySQL, Kafka, Redis, celery.

PythonDjangoETLData AnalysisSoftware Development