Aug 2023 – Aug 2024 · 1 yr · United States · On-site

Jun 2023 – Sep 2023 · 3 mos · Herndon, Virginia, United States · On-site

• Developed a Java parser in Python to create an AWS services and APIs dictionary, ensuring data fidelity and accuracy by 80%.
• Devised a Lambda to ingest data via SQS, and store in DynamoDB Tables reducing inconsistencies by 15%
• Boosted Annual Profitability by $500,000 using AWS Sagemaker to predict AWS Service launch dates
• Deployed programmatically scalable accuracy monitoring dashboards for all AWS Services across all AWS Region.
• Increased Service Availability by 20%, by developing an availability prediction model at API level, reducing downtime by 48hrs
• Implemented automated warning alerts using CloudWatch, leading to a substantial reduction in downtime and maximizing profits
• by ensuring optimal service availability and performance

Jan 2023 – Jun 2023 · 5 mos · Boston, Massachusetts, United States · Hybrid

• Developed machine learning models to predict onsite-media marketing campaign performances, resulting in optimized campaigns and improved ROI.
• Developed ETL pipelines to improve the current architecutre of input data.
• Automated manual 4-5 day dashboard refresh processes to a one-click and 4-hour automated process, resulting in saving half a million dollars annually.
• Optimised SQL Queries using the techniques of Indexing to decrease the runtime by 10%
• Developed Tableau dashboards for the migration of current dashboards from Qlik Sense, resulting in improved data visualization and accessibility for stakeholders.
• Provided analysis reports for onsite media marketing to stakeholders in an agile environment, resulting in improved marketing campaign performance.
• Researched over big data technologies like kafka and mapreduce to increase data availability for onsite media.

Sep 2022 – Jan 2023 · 4 mos · Boston, Massachusetts, United States

Jun 2022 – Aug 2024 · 2 yrs 2 mos · Boston, Massachusetts, United States

• Developed an Android application in Java communicating with IoT Sensors through Bluetooth for mHealth Research Group to analyse the parameters effecting the sleeping patterns of humans
• Analysing human behaviours during various exercises with the help of mobile phones and wearable technologies using various prediction models to improve Human Physical Activity Measurements for the near future
• Utilized visualization techniques to analyze teenage sleeping trends, extracting insights for enhancing sleep patterns in teenagers.
• Improved data retrieval efficiency and performance by strategically implementing indexing and stored procedures in SQL queries.
• Developed an application to extract data from human-filled forms and store them in AWS Athena.
• Performed a deep dive research on the current OCR softwares and developed a validation algorithm to give better results.

Apr 2022 – Apr 2023 · 1 yr · Boston, Massachusetts, United States

Jul 2021 – Dec 2021 · 5 mos · India

• Assisted in Developing a Threats and Crash Analysing software which monitors across the system and reports them to administration using Python and ReactJS as a part of the training for 3 months
• Administered a Java-based application, by analyzing and fixing bugs, decreasing the application’s launch time by 1.2 secs
• Collaborated with team members using version control systems such as Git to organize modifications and tasks.

Feb 2021 – Mar 2021 · 1 mo · Noida, Uttar Pradesh, India

• Extracted country-wise data of vessels and ships grouped by Company names.
• Cleaned, Organised and Visualised the previous records of orders and sales done from 2017 to 2021.
• Developed a sales prediction model using Fb Prophet, to notify admin about increasing workforce on the relevant services.

Sep 2020 – Dec 2021 · 1 yr 3 mos · New Delhi, Delhi, India

• Used HTML, CSS, JavaScript and React to develop websites for a wide variety of Start-ups in the fashion and travel industry
• Developed softwares and application for providing customised solution to track the flow of processes in an export house in an easier manner
• Provided Digital Marketing Solutions and Optimisation solutions for E-commerce Platforms such as
• Amazon, Meesho and Flipkart .
• Led a team of 5 developers, 2 designers and 2 interns.

Jul 2020 – Sep 2020 · 2 mos

• Led a team of 11 student professionals working as developers, data scientist and researchers.
• Implemented my skills of managing a project, by developing a product m scratch to adding new features to it.
• Developed models to analyse the teams performance to bring out ideas to expedite the development procedure , without over-loading work pressure.

Jun 2020 – Sep 2020 · 3 mos · Bengaluru, Karnataka, India

• Developed an automation bot, which used to compare a list of products at Amazon with Walmart.
• Implemented the concepts of extracting urls of the missing products on Walmart and adding them in a CSV file using Pandas and NumPy

Apr 2020 – Aug 2021 · 1 yr 4 mos · Delhi, India

• Collaborated with a team in developing various sales prediction models using Python and Machine Learning to predict the demand of a particular product, minimizing the wastage during production around 20%
• Developed BI dashboards using concepts of Data Visualisation and Clustering, notifying the admin about the risks, losses and profits during production and bridging the gaps between demand and sales.

Dec 2019 – May 2020 · 5 mos · Noida

• Designed an algorithm to predict the cost of stubble produced
• Developed an application which helped farmers barter there machinery, wastage, and produce with other farmers, decreasing the cost of machinery for the farmers.

Apr 2016 – Mar 2021 · 4 yrs 11 mos · Delhi, India

• Started my journey as a Maths and Science instructor for class 9-12.
• Later, I guided and taught students of class 11 & 12 with JAVA and Python Programming.
• Counselled more than 300+ students, to choose the best path for their future after class 10th & 12th