Dec 2022 – Jun 2025 · 2 yrs 6 mos · Chennai, Tamil Nadu, India · Remote

Nov 2022 – Present · 3 yrs 4 mos · Remote · Remote

Jan 2022 – Present · 4 yrs 2 mos · Remote · Remote

Jan 2022 – Dec 2022 · 11 mos · Chennai, Tamil Nadu, India

• Handled a complete Data Science life cycle project ranging from Data Collection to Machine Learning model optimization and presenting inferences.
• Got to work with the Food & Beverages dataset to analyse sales for a global client.
• Implemented Time Series Forecasting to prove a proposed Hypothesis.
• Earned experience in GIT, Virtual Env, ML Flow.
• Used Python on a large scale to wrangle the data collected through MS-SQL server from remote Data Server.
• Got to learn and use Market Mix Modelling and Uplift Modelling on real time use cases.
• Exploratory Data Analysis, Feature Engineering, ML model building and optimization were the parts of multiple projects.

Aug 2021 – Jan 2022 · 5 mos · Hyderabad, Telangana, India

• 1. An awesome experience of learning and implementation.
• 2. Got descent knowledge in SAP HANA cloud.
• 3. Designed Python automation code to migrate files from SAP Neo to local system.
• 4. Designed interactive Tableau dashboards for a global client, meeting all the requirements.
• 5. Used "Dashboard Navigation Action", "Parameters", "Filter Action", multiple simple filters, "Hierarchy", "Drop Down feature", multiple different charts and plots. Defined and described important KPIs.
• 6. Migrated a complete tracking system from Excel to Tableau using awesome Tableau features.
• 7. Fetched real time data from BigQuery to Tableau using "Data Connection" and connected the predesigned dashboards to generate
• awesome insights and deployed the complete Tableau system into Client interface.
• 8. Learnt and worked on GCP. Especially, Cloud Storage, Compute Engine, DataFlow and BigQuery.
• 9. Built Dataflow Template in Python to create a Dataflow pipeline to differentiate between good and bad data from batched data containing more than thousand CSV files.
• 10. Stored the Bad data in Cloud Storage and the Good data into BigQuery to further use it for reporting.

Apr 2021 – Jul 2021 · 3 mos · Kolkata, West Bengal, India

• 1. Worked in QEA domain, i.e. Software testing.
• 2. Tech stack included Java, Selenium, HTML, SQL, XML, JavaScript, DBMS.
• 3. worked in a cohort of 40 members.
• 4. Got trained, completed courses, attended training sessions, BH Sessions, submitted multiple assignments, mini project and also cleared multiple assessments and code challenges.
• 5. Indeed an awesome experience in a completely new domain.

Nov 2020 – Dec 2020 · 1 mo · Online

• 1. Led a team of 6 members.
• 2. Successfully completed the project within deadline.
• 3. From ideation to implementation have been done by our team.
• 4. Worked on a Machine Learning research work on Covid-19.
• 5. Collected real time data (response via google form), cleaned, managed and analyzed the same.
• 6. Used Classification models like SVM, Naïve Bayes, Logistic Regression and many more.
• 7. Implemented NLP model (Regex, WordToVec, Tf-Idf) with more than 60% accuracy.
• 8. Finally implemented Classification algorithm with around 90% accuracy.
• 9. PPT presentation and numerical Analysis in Tableau.
• 10. The whole Data Science programming was done in Python and got recognized by Pianalytix team.

Sep 2020 – Jan 2021 · 4 mos

• This was an awesome experience mentoring new interns, helping them to complete several ML tasks within the scheduled time. The most interesting part was to introduce some of the beginners to the real essence of Data Science and ML. Their doubts and thirst for knowledge made me learn a lot and grow more. Working along with other mentors and managing a huge number of interns for as long as five months improved my man-management skills and the whole personality as well.

Aug 2020 – Sep 2020 · 1 mo

Sep 2020 – Oct 2020 · 1 mo · Work From Home