May 2019 – Mar 2021 · 1 yr 10 mos · Gurugram, Haryana, India

Apr 2019 – May 2019 · 1 mo · Bengaluru, Karnataka, India

Jan 2018 – May 2019 · 1 yr 4 mos · Bengaluru, Karnataka, India

• 𝐈𝐧𝐬𝐢𝐠𝐡𝐭 𝐄𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧 𝐅𝐫𝐨𝐦 𝐓𝐞𝐱𝐭 𝐚𝐬 𝐚 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐒𝐞𝐫𝐯𝐢𝐜𝐞:
• We use data extracted from Customer Reviews, Seller comments, Returns Comments to derive key insights like what are the key aspects to concentrate on while building differentiated products for Indian customers.
• We went through existing research works on extracting insights from text using various NLP techniques like dependency parsing, deep learning based approaches, etc.. experimented with these approaches and converged on an approach based on the data.
• Tech Stack: Python, Flask, Pyspark
• Used: NLP techniques like dependency parsing, pos tagging, pruning,etc.. using libraries like Spacy, Nltk, etc.. Machine learning algorithms like Random Forest for classifying opinions, Deep learning techniques like Word2Vec word embeddings for clustering, Fast Text for sentiment classification, etc..
• Contributed in: Going through existing works, doing quick POC's, Architecture, LLD, development, testing, deployment, scaling and reducing latencies using pyspark.
• 𝐓𝐚𝐫𝐠𝐞𝐭𝐞𝐝 𝐦𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠:
• System to retarget Flipkart customers on social networking sites like Facebook and GDN.
• This system targets customers who are a potential buyer for a particular product based on their past browse history, sales data, etc..
• Contributed in: Defining requirements, collaborating with other teams in Flipkart to reuse existing work,
• Solutioning and doing a POC for the same.

Jul 2016 – Jan 2018 · 1 yr 6 mos · Banglore

• Involved in the Video Ad Serving team of Media.net, building a highly scalable Ad-Serving platform. Have been involved in building the platform, developer tools, and data analysis tools.