Jun 2021 – Jun 2022 · 1 yr · Bengaluru, Karnataka, India

• Incivus is a spin-off from Course5 Intelligence focussing on advertisement curation with the power of artificial intelligence.
• Primarily, my role involves utilizing computer vision, natural language processing and machine learning algorithms to analyze ad creatives and generate impactful ad content.

May 2019 – Jun 2021 · 2 yrs 1 mo · Bengaluru Area, India

Jul 2018 – May 2019 · 10 mos

Jan 2017 – Jun 2018 · 1 yr 5 mos

• Primarily involved in development and deployment of Information Extraction suite to automatically extract useful information from different sorts of documents such as legal documents, logistics invoices, insurance loss runs, etc.
• Typically worked on utilizing Natural language processing and Machine learning techniques for information extraction tasks.
• Applied Deep Neural Network architectures to categorically extract specific information from unstructured data.
• Achieved Rank 44 out of 4451 (Top 1%) on Toxic Comment Classification Challenge (Kaggle).
• Achieved Rank 172 out of 3634 (Top 5%) on 2018 Data Science Bowl (Kaggle).
• Invited Guest Speaker for Short term course on Data Mining: Task, Tools, Techniques and Applications (DMT3A) held at Computer Engineering Division, NSIT Delhi.
• Mentored a team of interns to build modules for document classification and spell correction.
• Python, JAVA | Keras, TensorFlow | Deep Learning: Convolutional Neural Networks, Long-Short Term Memory Networks | Machine Learning: Support Vector Machines, Logistic Regression | Word Embedding: FastText, GloVe, Word2Vec | Apache Spark (PySpark) | MongoDB | Cloudera Data Science Workbench
• Kindly see the Projects section for details.

Aug 2015 – Dec 2016 · 1 yr 4 mos

• Largely involved in developing visualization for a wide range of prototypes and establishing Big Data pipelines.
• Developed a prototype to identify non-compliant users for online subscription-based client.
• Created an automated real-time smart meter tool for a utilities based client to predict supplier and consumer behaviour based on energy usage patterns (IoT devices).
• Mentored a team of interns to develop modules for Social Media Influencer and Distracted Driver Identification.
• Python, JavaScript, HTML5 | Visualization: Flask, D3.js, DC.js | Apache Spark (PySpark), PostgreSQL, Sqoop, Boto3 (AWS API)
• Kindly see the Projects section for details.

Jun 2014 – Jul 2014 · 1 mo · Gurgaon, India

• Khaana On The Go is a Food Delivery cum Restaurant Search based web start-up in Gurgaon.
• 1. Analyzed potential keywords and meta-tags to improve the search visibility and indexing of the website.
• 2. Was a member of the development team of www.khaanaonthego.in and achieved UX rating of 99% on Google.
• 3. Developed web application for the location services integration using Google Maps API and HTML5 Geolocation.

Jun 2013 – Jul 2013 · 1 mo · New Delhi Area, India

• IOCL is an Indian state-owned oil and gas corporation.
• 1. Responsible for optimizing crucial parameters in the feasibility report of a Poly-propylene plant in Orissa.
• 2. Analyzed various routes of project planning and implementation of the Poly-propylene plant and refined the report.

Dec 2012 – Jan 2013 · 1 mo · Agra Area, India

• Learnt the different processes from receiving a work order to the mass production. Worked under the Methods Engineering and
• the Manufacture and Repair Departments.

Mar 2012 – May 2015 · 3 yrs 2 mos · New Delhi

• The Custom-T is an online customised merchandise company. With services spanning 100+ cities, having printed more than 40,000 T-Shirts in two years for 200+ clients which includes IIT Delhi, BITS Pilani, Tata Group, HDFC, Actis Global and many more, it is one of the premium high quality merchandise providers in India.
• 1. Responsible for web development, inbound-marketing, social-media marketing and data management.
• 2. Analyzed sales records, derived trends and identified high-growth sectors for the sales & marketing team.
• The company got featured in The Hindu’s report - ‘Young Entrepreneurs and their stories’ [July 2014]