Mar 2024 – Sep 2025 · 1 yr 6 mos · Bengaluru · Hybrid

• 🌟 Part of the Global Shared Technical Services Team driving $116M in TACV for Q3, maintained an exceptional 100% CSAT score and SME for Kafka Connect/Connectors & drove initiatives in AI Assistant, Real-Time Streams via ksqlDB/Flink, and Schema Registry.
• ✔ Technical Discovery & Solution Design: Led technical discovery and architectural discussions for 20+ clients, developed POCs/Pilots, addressed customer challenges and enabled Presales [Commercial & Enterprise] accounts to overcome technical challenges.
• ✔ Led development of the Confluent AI Assistant (menu-based, rule-based, and AI-driven) as part of the Drift AI Team, automated client support and enhanced user experience by streamlining access to Confluent Cloud documentation and guides.
• ✔ Tailored Demos & Product Evangelization: Partnered with cross-functional and marketing teams to deliver over 30 customized demos that showcased Confluent's unique value proposition, including Confluent Cloud (SaaS), Platform (On-Premise), Kafka 101, RAG with Data Stream Demos and various technical sessions, reaching an audience of 200+ key stakeholders.
• ✔ Customer Success & ETL: Developed and optimized batch & real-time data pipelines via Kafka, Flink, ksqlDB, and Airflow, driving a 40% increase in platform usage by enabling new use cases through deep business/technical reviews, including stream lineage, governance, schema evolution/compatibility, and data portal insights.
• ✔ RFPs & Artifacts: Supported 50+ SQs. Developed 10+ success plans and architecture blueprints for streaming ETL stacks (Connect, Spark, glue), covering secure deployment, network setups, and enablement workshops tailored to production systems.

Nov 2023 – Mar 2024 · 4 mos · Gurugram, Haryana, India · Hybrid

• 🔧 Skills: Python, NLP, Pypdf, Computer Vision, Form Recognizer, text-to-SQL, Langchain, LLMs, GPT, OCR, Agents, Vector DB & Indexing, OpenAI, Hugging Face, Synapse Analytics, Regex, Power BI, Blob Storage, and Cosmos DB.
• 🌟 Cognizant Data & AI Team (FinTech):
• ✔ Rate Card - Developed a scalable solution to extract insights from unstructured sources such as images, audio, and text data (JSON, Parquet, PDF, CSV) related to SOW/MSA agreements between Cognizant and Clients. The no. of pages ranges from 20-500, with over 50 key attributes extracted (e.g., name, industry, onsite/offshore, bill location, skillset, JD, salary, experience, work hours, timezone, currency, UOM, regular/overtime, level, remarks). Leveraged NLP, pandas, and prompts for Text processing with fine-tuning & model drift accuracy improved by 75%, while reducing execution & monitoring time by 60%. The final outputs are compiled into a Rate Card, which serves as a recommender engine for aligning employees to roles and, conversely, clients to employees.
• ✔ Conversational AI FAQ Chatbot - This is used for live support and is integrated as a widget within the Cognizant application. The bot is an agnostic backend engine that works with any frontend chat interface, while the client-server interface is created using Streamlit. This solution has automated 80% custom queries & enhanced support query resolution efficiency by 91%.

Jan 2022 – Nov 2023 · 1 yr 10 mos · Gurugram, Haryana, India · Hybrid

• 🌟 Client: Ascension Healthcare (Hospitals & Insurance)
• ✔ Spearheaded the gathering and processing (Data quality, contracts, schemas, Feature engineering, scaling, masking) of batch data from TPAs, ensuring high-quality, contract-compliant Data ingestion. Optimised Data integrity and Governance by implementing standardized frameworks across GCP (Gcs, BigQuery, Dataproc, Pub-Sub, Dataflow) and Snowflake/ Databricks. Enhanced efficiency through a metadata-driven SQL and PySpark framework, enabling seamless Data modeling, catalog, mining, and a suite of interactive, data-driven reports for actionable insights.
• ✔ Developed, tested, and Built Data pipelines (ETL/ELT) and monitored Airflow jobs, validated data by firing complex Queries, and visualized results via Looker, reducing pipeline management and monitoring time by 40%, and data load and processing times by 70%.
• ✔ Provided technical assistance to product and design teams, performing ad-hoc analysis to mitigate and identify the source of failure, and executed Sprint deliverables in JIRA using Agile methodologies.
• ✔ Improved query performance by 50% via SQL Best Practices & Spark optimizations, including query plan analysis, indexing, views, partitioning, sharding and engine configs.
• ✔ Analyzed any failures occurring during production and quality assurance deployments.

Aug 2021 – Oct 2021 · 2 mos · New Delhi, Delhi, India · Remote

• 🔧 Skills: Image Processing, Open CV, Python, OCR, Natural Language Processing, Computer Vision, Nvidia Cuda & cuDNN, GPU
• 🌟 Sector: Health & Fitness
• ✔ Developed an AI Proctored Gym Trainer App including features s.a. (Exercise Rep Counter, Exercise Classification & Intensity Level Check by MediaPipe) for around 200+ Exercises.
• ✔ Extracted Text from Food Packages to create a Database for Recipes, Nutrients, & Ingredients via NLP to manipulate Linguistic Data to get Semantic info w.r.t Word Embedding & used Deep Learning Models to build Recipes Nutrient Diet Recommendation System.

Jan 2021 – Mar 2021 · 2 mos · Delhi, India

• 🔹 Work Link: https://github.com/KunalAnand2907/Widhya_Internship
• ✔ Predict the percentage Of Students based on Study Hours.
• ✔ Performing Clustering on IRIS DATASET & Finding The Optimal Number Of Clusters.
• ✔ Perform Exploratory Data Analysis Using IPL Dataset.
• ✔ IRIS Dataset Implementation using Decision Trees On The Dataset and Visualize it by Decision Tree.

May 2020 – Aug 2020 · 3 mos · New Delhi, Delhi, India · Remote

• 🔧 Skills: Python, Tableau, Advance Excel, Knime Analytics, AWS, Adobe Photoshop
• 🌟 Sector: Ed-Tech
• ✔ Spearheaded a comprehensive data project covering the entire Indian education system (schools & colleges). Collected, structured, and cleaned large-scale datasets using Excel (Power Query, Macros) and advanced data strategies.
• ✔ Designed interactive dashboards in Tableau and performed data analysis in Python, enabling clear insights and actionable intelligence for the Ed-Tech service team.

May 2020 – May 2020 · 0 mo