Udit Gera
Skill Score
Novice (1/6)
Information Technology

Resume – https://www.uditgera.com/resume

Software Engineer with a demonstrated history of working in the internet industry. Skilled in MongoDB, Python, Go and Data Analysis. Strong engineering professional with a Bachelor’s degree focused in Electronics and Tele-Communication Engineering from Guru Gobind Singh Indraprastha University.

Evaluated for Associate Product Manager and Technical PM role archetype
Performance by Category
Top Skills
Metrics definition Database structure Writing and presentation Market analysis System design API integration Data retrieval Performance tracking
Skill Progression

Software Engineer

– Working in Category & Browse Tribe
– Responsible for the Annotation Filters micro-service serving 5K RPS
– Created Internal Tools for Product Team for A/B testing resulting in 32% increase in CTR, 15% in CVR and 11% in orders from Annotation Filters
– Migration of Annotation System from Postgres to Elasticsearch to support extensive read and write operations without any issue of slow-queries.
– Added Nginx & Redis cache to reduce network calls to DB, resulting in 30% less CPU Usage of DB servers.
– Setup daily crons to create catalogs for new products by data-crawling, template generation, and then tagging of products to catalog (around 1.5 Mill products are tagged to various catalogs)

Data Science Intern

– Worked on a project BrandGain, which as a product is mainly used by hotels to evaluate their social
value in the market.
– Providing actionable insights on improvement areas (such as food quality, service quality, ambiance
etc.) and also monitoring sentiments from the reviews collected by the hotel.
– Frontend was developed using Angular 6 and the Machine Learning models were served as REST APIs,
so as to ease the process of prediction and computation of textual reviews.

Machine Learning Intern

– As a machine learning intern my main areas of projects were Natural Language Processing &
Understanding, the main programming language used was python.
– Built an address parser which parses the input address into discrete components such as
block/phase, locality, state etc.
– Built a Textparser which would tag the question with their relevant categories similarly like
Quora tags its questions using specific keywords.
– Aim of both the projects was to automate the manual process of categorisation of the textual data.

Degree Programs

Bachelor’s degree, Electronics and Tele-Communication Engineering

High School

Licenses and Certifications

No Licenses or Certifications Found.