Mayank Kakkar

Data Scientist

New Delhi, Delhi, India7 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

7+ years of experience in machine learning and data science.
Proven ability to deliver actionable insights and optimize data pipelines.
Expertise in generative AI and mentoring junior team members.

Stackforce AI infers this person is a Data Scientist with a strong focus on AI and machine learning in the Retail and EdTech sectors.

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Skills

Core Skills

Machine LearningData Science

Other Skills

Statistical AnalysisCommunicationBig Data AnalyticsGenerative AIPySparkArtificial Intelligence (AI)Python (Programming Language)PythonAnalyticsDeep LearningData AnalysisStatisticsExtract, Transform, Load (ETL)Financial AnalysisData Structures

About

7+ years experienced, result-oriented ML engineer with expertise in machine learning, statistical analysis, and big data processing. Skilled in deploying scalable models and optimizing data pipelines to drive business impact. Experienced across EdTech, Retail, and FMCG, leveraging data for strategic decisions. Proven ability to execute multiple projects and deliver actionable insights. My expertise and seniority in the field allow me to provide advanced data-driven solutions and mentor junior team members. AREAS OF EXPERTISE ___________________ ► Data Science ► Machine Learning ► Generative AI ► SQL & Postgres ► Backend Architecture TECHNICAL SKILLS _________________ ► Languages and Databases Python, JavaScript, R, Spark, MySQL, PostgreSQL, NoSQL, SQL Server, PostgeSQL, Big Query, Relational Databases ► Frameworks: Django, Flask, NodeJS, ExpressJS ► Statistical and visualization tools: Tableau, Power BI, Google Analytics, Seaborn, Matplotlib ► Technologies: AWS-EC2, SQS, Lambda, S3, SageMaker, Google Cloud Platform, Map Reduce, Apache Nifi, BigQuery ► Packages: TensorFlow, Keras, OpenCV, Numpy, AutoML, Langchain ► Machine Learning Algorithms: Multinomial Regression, Decision Trees (Random Forests, GBM, XGBoost), Clustering (KNN, K-Means), Classification (Naïve Bayes, SVM), Unsupervised learning (PCA, NMF), Mathematical Modeling, Data Pipelines, Anomaly Detection, Time Series Analysis, Image Processing, Pattern Recognition, Reinforcement Learning

Experience

7 yrs 9 mos

Total Experience

2 yrs 7 mos

Average Tenure

4 yrs 9 mos

Current Experience

Dunnhumby

Data Scientist

Sep 2021 – Present · 4 yrs 9 mos · Gurugram, Haryana, India · On-site

Developed AI-driven solutions to transform customer insights into actionable strategies, improving Tesco’s retail performance and personalization efforts:
1. Developed and deployed machine learning models to analyze customer behavior, creating loyalty segments and personalized recommendations.
2. Helped Tesco forecast demand fluctuations due to seasons, holidays, and promotions, ensuring optimal stock levels andimproved store efficiency.
4. Leveraged LLMs and AI-driven automation to generate retail-specific insights and strategies.
3. Designed interactive Excel dashboards that integrated online retail data, providing actionable insights into customer behavior and optimizing Tesco’s website performance.
5. Led the migration of data science servers from in-house infrastructure to Azure, improving scalability and computational efficiency

Statistical AnalysisData ScienceCommunicationBig Data AnalyticsMachine LearningGenerative AI+3

Limetray

Software Engineer

Jul 2020 – Aug 2021 · 1 yr 1 mo · Gurugram, Haryana, India

Working in Analytics Department which primarily includes gathering business requirements for data formulation from different aggregators and helping them managing the inventory.
1. Integrated data processing pipeline and service for load the data from multiple sources using Python & JSON. Also performing the ETL operations over this data to serve the business needs.
2. Developed database procedures for clients for data formulation using Postgres.
3. Created Microservices based web application with NodeJS & SQL.
4. Created reporting management system using SQL.
5. Gathered orders data from different aggregators for competitive analysis using Python.
6. Devised and created a web-application which generate daily excel reports from JSON data in Python for our clients. For deployment part we used Docker for this

Gamooz interactive solutions private limited

Software Developer

Aug 2018 – Jul 2020 · 1 yr 11 mos · Gurgaon, India · On-site

Working closely with application developers and designers to capture requirements for the functional elements for Augmented Reality(AR) based applications
Machine Learning
1. Engineered a system for image scanning to enable Augmented Reality using CNN in Python over the school books, & created REST APIs for sending meta data to DB.
2. Implemented A/B testing using XGBoost for feature testing. And the results were plotted for insights using Tableau. This whole activity helped in getting around 16% more user interaction on application.
Backend Services
1. Devised an Analytics dashboard for tracking user events from mobile application. Deployed the backend part for communication using database and server using NodeJS & MongoDB.
2. Revamping of a job search portal. Worked on the backend development which was built over Python using Django & SQL.
3. Successfully lead a project in collaboration with HP Enterprise & designed a portal for them. For the portal, REST APIs were built in PHP & frontend was built using Wordpress. This project helped in achieving 11% increase in revenue through the portal.
4. Creation of application using Javascript which can be used for web view in Android & iOS application.

Hcl infosystems ltd.

Software Engineer

May 2017 – Jul 2017 · 2 mos · Noida Area, India

Worked on on-going projects based on machine learning for the predictive keyboard.
1. Increased the efficiency and usability of the desktop keyboard such as a keyboard that keeps training itself and updating according to user requirements.
2. Reviewed and created blueprints and questions related to Data Science & Machine Learning Assessments.
3. Used MS Excel to manipulate data.
4. Also used Node.js for backend and HTML, CSS for frontend development.