ABHISHEK JAISWAL

Boston, MA 857-***-**** adq390@r.postjobfree.com LinkedIn Github

EDUCATION

Northeastern University — Boston, MA Aug 21 - May 23 Master of Science, Computer Software Engineering GPA - 3.93/4. Coursework - Data Science Engineering Methods & Tools, Deep Reinforcement Learning in Game Engineering, Big Data Systems and Intelligent Analytics University of Mumbai — Mumbai, MH Jun 14 - May 18

Bachelor of Engineering, Computer Engineering GPA – 3.63/4. Coursework - Big Data Systems, Database Management TECHNICAL SKILLS

Languages: Python, SQL, Java, HTML5, CSS3, JavaScript, XML, JSON Databases: MySQL, MS SQL Server, SSMS, Oracle 11g, PostgreSQL, Snowflake Big Data: AWS (ECR, S3, EC2), GCP(Compute Engine, BigQuery, DataStudio), Azure ML Tools: Jupyter, Visual Studio Code, CoLab, Airflow, Git, Jira, Lucidchart, Pycharm, Spyder BI Skills: Power BI, Tableau, Big Query, Google Data Studio ML: ANN, CNN, GAN, Linear Regression, Random Forest, KNN, Logistic Regression, Naive-Bayes NLP: BERT, BERT base NER, t5-base summarization

WORK EXPERIENCE

Program Assistant Northeastern University, Boston Sept 21 - Present

● Counselling undergraduate students for their classes and assignments to access the university’s virtual resources, issues with project deployment and troubleshooting other software issues Software Engineer LTI (L&T Infotech), Mumbai Nov 18 – Aug 21

● Independently Managed transition, development and testing phase for 4 MS Dynamics ERP applications

● Implemented AI models using PowerApps to validate customer identity reducing the manual error by 70%

● Build AI models using Azure Computer Vision to validate the safety of people at the client’s construction site

● Constructed an application to streamline and automate activities for the BFSI domain using Power Platform

● Enhanced the Sales Forecast reports via Power BI to surge the Sales Success rate by 95%

● Worked in 6 person team to develop an E-procurement portal using MVC (Model View Controller) architecture in Java and Angular following the AGILE methodology

● Designed a new approval procedure in the manufacturing module completely eliminating manual approval delays

● Computed a use-case to deploy MS Dynamics Applications on Azure and AWS cloud using Power Automate without manual intervention reducing deployment errors by 80% RELEVANT PROJECTS

Deep Reinforcement Learning Video Game (FlappyBird) Python Apr 22

● Applied Deep Learning Model to learn optimal control patterns from visual input using reinforcement learning

● Build a CNN trained with Q Learning to approximate future expected reward for any possible action and then select an action based on the best possible outcome

Analyzing and Predicting Storm Data Python Feb - Apr 22

● Build an end-to-end application to forecast nowcast data from the SEVIR dataset for Federal Aviation using Streamlit app and FastAPI, and deploy it in Amazon EC2 and GCP Compute Engine

● Designed a Data Pipeline using Apache Airflow to synchronize forecasting for processing batch requests Lungs Disease Prediction Python Jan 22

● Prepared a CNN model to classify X-RAY images as having PNEUMONIA or NORMAL with an accuracy of 89%

● Used ResNet152 pre-trained weight from transfer learning to perform the classification and evaluate the baseline model’s performance

CO2 Emission Prediction Python Dec 21

● Analyzed the CO2 emission data from the COP26 dataset to identify trends in the emissions and predict whether a country will be able to meet goal of the Paris Agreement using RandomForestRegressor

● Build helper functions to process data and visualized CO2 emissions by year for the past 7 decades AWARDS & HONORS

• Won first prize in Microsoft PowerApps All India Hackathon Q1 FY21 conducted by Microsoft

• Second Runner-Up for NIMBUS Ideathon Conquest conducted by LTI 2021

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