About Me

Hi there, my name is Sushrut Ghimire.

A driven computer engineer and master's student specializing in data science and artificial intelligence, with a strong background in software development, machine learning, and data analysis. Experienced in working with complex systems to deliver innovative, automated, and efficient solutions. My commitment to research and development shines through AI based projects across various multi-national companies in Nepal and India.

Education

Friedrich Alexander University

Masters of Science in Data Science;
October 2024 - current Erlangen, Germany

Field of Specialization: Artificial Intelligence / Machine Learning
Relevant Coursework:
  • Artificial Intelligence -I & II
  • Pattern Recognition
  • Deep Learning
  • Mathematics of Discrete Optimisation
  • Information Theory and Coding

VIT University

Bachelors of Technology in Computer Science and Engineering;GPA: 8.01/10.00
August 2017 - August 2021 Vellore, Tamil Nadu

Recipient of fully funded COMPEX Scholarship awarded by Embassy of India
Relevant Coursework:
  • Discrete Computational Structures
  • Introduction to Object‑Oriented Programming
  • Data Structures and Algorithms
  • Computer Organization
  • Fundamentals of Software Engineering
  • Artificial Intelligence
  • Machine Learning
  • Java Programming

DAV School

High School Diploma; GPA: 10/10
September 2015 - June 2017 Kathmandu, Nepal

Prefect Award, Best Character Award, Best Debate Award at GIIS Malaysia, Passed as the highest ranked student in my class. (2015 & 2017)

Experience

Fiserv Inc.

Professional, Data Analysis
August 2021 - September 2024, Full-time Delhi NCR, India

  • Fully automated forecasting of volumes for optimizing operations (capacity, inventory, production and demand) using advanced forecasting models like LSTM and Prophet, through pipeline in Snowpark (Snowflake) using Python for Fiserv Output Solutions which is visualized in dashboards.
  • Improved efficiency of Fiserv's Clover Capital product through feature engineering and building binary prediction model in Python that recommends delinquent merchants instead of a simple rule-based 'pre-approved' list
  • Data Science projects like Real-Time Fraud Detection of Billpay transaction frauds using Python for Fiserv's Billmatrix product
  • Real-time Indexing of software vulnerability by using statistical methods like fisher index using advanced Excel
  • Led the development of automated ETL migration pipelines using SQL and SSIS for Fiserv's Commercial Banking Application (Conversion of NYCB/Flagstar and TCB/VRB)
  • Market Research and Proof of Concept development using ReactJs, Camunda and Java (Springboot) for BuyNowPayLater product as a part of the prestigious Business Innovation Group (BIG)

Paperflite Inc.

Software Engineering Intern
March 2021 - June 2021, Full-time Chennai, India

  • Implemented interactive features like searching assets and tracking engagement for Paperflite and Cleverstory products using React Js, ElasticSearch and Springboot.
  • Demonstrated a working chat application Proof of Concept using Pubnub, Java and ReactJs for managing leads
  • Implemented New Relic for log management with real-time notification for failure alerts in the Paperflite Application.

Citytech Group Pvt. Ltd.

Software Developer, Trainee
March 2023 - September 2023, Full Time Kathmandu, Nepal

  • Utilized Java, JSX-RS and ReactJs technologies for development of trading application "Tradepulse"
  • Developed online demat application for catering major banks like NIC Asia and NIBL in Nepal.
  • Implemented REST APIs, adhered to SOLID principles, and employed effective design patterns.

Projects

Paperflite Chat Application

Used PubNub and ReactJs for the Paperflite's marketing chat application.

Bundesliga Game Analysis

Statistical and Machine Learning based analysis of winning, losing and drawing criterias for an original bundesliga dataset.

Online Demat Application

Worked on frontend and single handedly prepared the multi-frontend APIs responsible for handling CRUD operations using Springboot for Banks like NIC Asia & NIBL

Ice Cream Trend Prediction

Forecasting of future trends of search of 'ice-cream' using the facebook's Prophet model.

Regulatory Compliance using Blockchain

Blockchain-Enabled KYC System on Ethereum, utilizing Solidity to ensure tamper-proof customer data handling

Forecasting Models Comparison

Comparison of various forecasting models like LSTM, SARIMA, Prophet and XGBoost for error analysis of daily volume prediction

Skills

Languages

python
Python
   
java
Java
   
mysql
MSSQL
   
javascript
JavaScript
   
typescript
TypeScript
   
matlab
MATLAB
   
c
C
   
cplusplus
C++
   

Technologies

springboot
Springboot
   
nodejs
Node js
   
Snowflake
Snowflake
   
reactjs
React.js
   
git
Git
   
docker
Docker
   
aws
AWS
   
kubernetes
Kubernetes
   
kafka
ElasticSearch
   
linux
Linux
   

Libraries

opencv
OpenCV
   
scikit_learn
Scikit-Learn
   
pytorch
PyTorch
   
keras
Keras
   
tensorflow
TensorFlow
   
numpy
NumPy
   
pandas
Pandas
   
matplotlib
Matplotlib
   
seaborn
Seaborn

CV

Curriculum Vitae

The above link contains my CV. Also, you can check out the code for this CV here.

Contact

Social Profiles

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