Swarnadeep Lodh

Experience

• 

  Infosys

  Jul 2018 - Dec 2019

  Data Analyst

  • Worked in support & development capacity in a Supply Chain Management team, where key responsibilities were monitoring and retraining Machine Learning models, handling incident request, problem management and reporting, • Created various data visualization reports in Power BI and provided significant data insights which were used as KPIs for monitoring and tuning the Pipelines.• Worked in a cross-team collaboration project which required aggregating data for Order Management System pipeline alerts by running complex SQL query for multiple tables and creating weekly summary reports with development and support team. Show less

• 

  Self-employed

  Jan 2020 - Feb 2021

  Data Scientist

  • Assisted a client in developing a web crawler using Scrapy to crawl multiple stock websites, aggregate the data and create summary reports.• Provided a client with tableau dashboards that provided insights on product sales for his retail apparel business.• Designed a search engine for a client using Elasticsearch that can be used to store & retrieve data for his job portal website and also modified an algorithm that provided resumes ranked according to key features as per necessity.• Persuaded a certification in Artificial Intelligence Engineering offered by Simplilearn in collaboration with IBM. Gained advance knowledge in statistics, machine learning modeling, time series analysis, exploratory data analysis (EDA) and data preprocessing using python libraries like Pandas, Numpy, sklearn, Keras, Tensorflow, Jupyter, Matplotlib etc. Implemented various machine learning algorithms like Linear Regression, Naive Baye, SVM, Logistic Regression, Random Forest, PCA, etc. and also designed deep learning models to solve problem statements like predictive modelling, collaborative filtering, time series forecasting, clustering, etc. Completed various industry scoped capstone projects, some of which included use-cases like Fraudulent Credit Card Transaction Detection, Facial Recognition, Movie Recommendation System, Image Classification, House Price Prediction, Sales forecasting, etc. Show less

• 

  Disprz

  Mar 2021 - Dec 2022

  Data Engineer

  • Collaborated with development team to monitor and optimize API performance and provided them with live dashboards and weekly analytical reports which helped them to significantly reduce API response time and enhance platform experience for our clients.• Lead a project from scratch to production that required to develop a RESTful API endpoint as a product feature, which is used to match and map necessary attributes from client side to our platform.• Worked in research projects which included implementing clustering and dimensionality reduction methods, data validation and also building POCs implementing recent AI technologies like OpenAI’s GPT-3 text summarizer, etc.• Created 12+ web crawlers using Scrapy, Selenium and other open-source APIs, to scrape various article and online-course websites which help to provide clients with recent and fresh contents.• Assisted sales and marketing team to make impactful business decisions by providing them with significant data insights like platform usage, user behavior, etc. using data for over 5O clients.• Built 4+ ETL pipelines to extract raw data from various sources like SQL Server tables, Amazon Athena, S3 cloud buckets and storing the processed data in Azure Data Lake Storage Gen2, Azure Dedicated SQL server, etc.• Developed 10+ scalable APIs for internal consumption which serve various computational results. Show less

• 

  Tata CLiQ

  Dec 2022 - Dec 2023

  Data Scientist II

  · Analyzed customer payment behavior and developed a deterministic model which personalizes the payment modes for each customer. The project aimed to increase conversions and provide seamless payment journey for mall customers.· Collaborated with Product team and developed a brand recommendation algorithm, which generates similar brands for a particular brand based on various features like similar price range, customer interactions, etc and thus provide quality recommendations to the customers at a brand level. · Worked with Sales and Merchandising team and created a heuristic brand ranking algorithm which ranks all the brands considering different features like revenue, orders, clicks , conversions, etc. The generated ranked brands are displayed on the Palette Home Page. · Setup multiple ETL jobs which take raw data from multiple sources, process the data and store the cleaned data in Redshift tables and S3 buckets which can be consumed by development team, analytics team, etc are per their requirement. Show less

• 

  Rocket Learning

  Jan 2024 - now

  Data Scientist