Data Engineer

• Jul 2023 - Present

Data Science Engineer

• Feb 2023 - Jun 2023

The role involves me to wear multiple hats using Python as first language as developer-cum-analyst to create some in-house solutions and later part as a data scientist to create models and perform following tasks: - Analyzed large-scale datasets using Python and SQL, identifying trends and patterns that informed revenue management strategies, leading to a 12% increase in overall revenue. - Collaborated cross-functionally with revenue management, marketing, and operations teams, providing actionable insights based on data analysis that led to a 10% increase in RevPAR through targeted pricing and promotion strategies. - Developed advanced predictive models, including regression, time series forecasting, and machine learning algorithms, achieving a 15% improvement in forecasting accuracy and reducing revenue loss. - Created automated reporting dashboards using PowerBI, reducing report generation time by 30% and enabling easy data interpretation for hotel and revenue management teams. - Create REST APIs and leverage third party APIs. Show less

Data Engineer Intern

• Sep 2022 - Dec 2022

- Developed and deployed a high-performance website with a large corpus of data, leveraging AWS serverless stack (including AWS Lambda, API Gateway, and DynamoDB), leading to a 40% improvement in data retrieval speed, and enabling faster access to information.- Leveraged Google Analytics and Tag Manager to track and analyze website traffic patterns, resulting in a 15% increase in user engagement and informing strategic marketing initiatives.- Created and managed interactive dashboards using Looker, enabling stakeholders to access real-time analytics, and resulting in a 30% reduction in data reporting time and enhanced data-driven decision-making capabilities to measure cost, quality, and efficiency and restructured communication flow among 4 teams including the Marketing team. Show less

Data Science Intern

• Jun 2022 - Aug 2022

- Programmed search page with JavaScript and Chalice to serve government regulations and statutes and present relevant results using optimal queries, reducing retrieval time by 10%.- Developed and deployed a machine learning model using Natural Language Processing (NLP) techniques to categorize and tag regulations and statutes from multiple countries, resulting in a 30% increase in data organization efficiency and improving accessibility for analysis.- Led a data extraction and analysis project by creating a robust web scraper that collected and processed data from various websites, resulting in a 40% reduction in data collection time and enabling timely insights for decision-making.- Conducted exploratory data analysis (EDA) on large datasets using SQL queries and generated actionable insights, leading to a 25% improvement in business strategy development and optimization. Show less

Research Assistant

• May 2022 - Aug 2022

Software Engineer

• Jan 2021 - Jun 2021

- Collaborated with a client to develop a scalable web app and revamp the conventional job board, resulting in a 30% increase in job postings and a 25% increase in user engagement within six months. - Applied machine learning techniques to enhance candidate matching and job recommendations, resulting in a 20% increase in successful job placements and a 20% reduction in time-to-hire. - Designed and implemented REST APIs using Flask, AWS Lambda, and API Gateway, which improved system scalability by 20% and enabled integration with mobile and web apps. - Successfully mitigated risks by leading sprints and maintaining transparency with the team throughout the project and participated in regular project risk assessments and implemented mitigation plans, reducing potential risks by 30%. Show less

Data Science Intern

• May 2020 - Nov 2020

- Leveraged SQL, Tableau, and Python libraries like Pandas, NumPy, and scikit-learn to perform demand analysis on inventory and instigated forecasting models to predict future demand in Python resulting in a 15% increase in sales. - Assisted in the analysis and identification of geographic regions for launching a pilot program in collaboration with the Indian Railways, resulting in increased revenue by 18% and allowing the company to reinvest earnings and expanded by 100% in India over a year. - Built 4 Tableau dashboards to track key performance indicators resulting in the identification of 2 underperforming distribution centers and a 25% improvement in supply chain efficiency. Show less

Full Stack Developer Intern

• May 2019 - Nov 2019

- Developed an attendance reporting web module using Vue JavaScript and Django REST Framework with PostgreSQL to automate a previously manual process, resulting in a 90% reduction in errors. - Created various components using Vue.js and performed A/B testing to improve user experience, resulting in a 20% increase in user engagement after analyzing different KPIs and selecting the optimal components. - Identified and resolved 25 critical bugs in a web app, reducing page load time by two seconds and streamlining the development process through improved bug tracking and resolution practices using tools and techniques such as Git and Agile methodology to ensure timely and efficient resolution of bugs. Show less