4 Years of experience into analytics and data science model developments.
Extensive use of Python Libraries such as Pandas , Numpy for EDA , scikit-learn for Machine learning , nltk for text processing , Scrappy , beautiful soup , selenium for web scrapping.
Worked on multiple projects based on regression and classification problems.
Worked on ETL Manager for Job scheduling and incremental data load.
Worked on AWS sage maker for analysis and model deployment.
Primary IDE used – Sagemaker , Jupyter Notebook , VS Code
Worked on visualization developments with Tableau and Amazon Quicksight.
Worked on MySQL workbench and Amazon ETL manager for executing SQL Scripts
Worked with Slack, and Zohoas primary business collaboration tools.
Excellent communication skills and a team player.
Overview
5
5
years of professional experience
1
1
Certificate
Work History
Case Analyst
Amazon India Pvt Ltd
Hyderabad
11.2021 - Current
Analyzed covid impacted employee data during the pandemic to assist CRC – (Covid Resource center) leadership team in devising state-wise strategy and benefit implementation for US employees.
Developed a recommendation system based on historical employee data to leadership which recommended ideal internal training modules and IJP to employees based on their preferences and skillset accurately.
Developed and presented associate performance as visualization with quiksight on weekly huddles with leadership.
Wrote python code to provide auto-fill functionality to associates while documenting their work for evaluation. NLP expertise was used while in process.
Scheduled Incremental data load jobs assigned to our department redshift cluster ensuring proper execution on given intervals.
Daily execution of given tasks with maintaining deadlines.
Received star performer award for continuing excellence in achievement of goals.
Successfully transitioned student's career into data analytics from non tech backgrounds.
Identified and documented detailed business rules and use cases based on requirements analysis.
Researched and resolved issues regarding integrity of data flow into databases.
Developed E learning content for institute which went into production.
Handled more than 200 students enrolled in data science curriculum of the institute
Supported teaching team with administrative tasks and one-on-one student assistance.
Explained common information security issues and how to fix problems.
Supported students lectures and live coding demo.
Taught students about data capture, cleaning and reporting.
Checked assignments, proctored tests, and provided grades according to university standards.
Revenue Analyst
eRevmax Technologies Pvt,Ltd
Kolkata
02.2020 - 02.2021
Analyzed 200+ hotel's data for the period of 2015 – 2020 for presenting the report to a client (Britannia group of hotels) for their expansion plans in United Kingdom.
Assisted in development of a prediction model for client hotels to predict their revenue post pandemic.
Developed classification model for ensuring sales team reach out to potential hotels only. This ensured higher conversion ratio and better time management by sales and operation team.
Performed SWOT analysis with competitor like ‘rategain' , ‘hotelbeds' to provide inputs on feature inclusion in our product. The analysis was done using scraping method on competitor sites.
Analyzed Revenue Stream of hotels during pandemic in the Ireland to advise onboarding team in their strategy to capture the market.
Cleaned and Pre processed raw data extracted from all client hotels to create reports along with visualization to present management on weekly meetings.
Daily execution of given tasks with maintaining the deadline.
Revenue Analyst
Oravel Stays Pvt. Ltd
Kolkata
06.2018 - 12.2019
Developed prediction models for client hotels in eastern India (Hotel O2 , Sonar Bangla Group etc) for streamlining their revenue strategy.
Developed classification model for ensuring sales team reach out to potential hotels only. This ensured higher conversion ratio and better time management by sales and operation team.
Analyzed historical employee data to develop remuneration increment prediction model .
Cleaned and pre-processed raw data extracted from all client hotels in order to create reports and visualizations for management to present at weekly meetings.
Daily execution of given tasks with maintaining the deadline.