Green leaf

Merishna S - Python developer
Member since:Jun 04, 2020
Profile last updated:Jul 07, 2022
Last activity:Jan. 24, 2023, 9:41 p.m. UTC

Merishna S

Artificial intelligence & machine learning engineer with strong fundamentals in machine learning algorithms (neural networks, dimensionality reduction, feature utilization, and extraction and clustering), programming, statistics, and mathematics. Experience in development and implementation of systems and machine-learning concepts. Love working with data including gathering the data, understanding it, cleaning, normalizing, and extracting in a usable format.

Skills:    ·   ·   ·   ·   ·   ·   ·    ·    ·    ·    ·    ·    ·    ·    ·    ·    ·    ·    · 
Weekly Availability: 48 hours
Sun07 - 1523 - 07
Mon07 - 1523 - 07
Tues07 - 1523 - 07
Wed07 - 1523 - 07
Thurs07 - 1523 - 07
Fri07 - 1523 - 07

Hourly Rate:$31.25
Experience:5 yrs
Python:5 yrs
Machine learning:4+ yrs
scikit-learn:4+ yrs
Firebase:4+ yrs
Tensorflow:4+ yrs
Docker:2 yrs
AWS:1+ yrs
Engineer's Devices:

LD Talent Work History

Average response time:
7.0 hours
Avg count of messages / Day:
Average client satisfaction:

Earned hours:
Worksession approval:
# Hires / # Interviews :
1 / 5
# Passion projects:


Kharpann Enterprises Pvt. Ltd.     Data Science and AI     Data Scientist/CTO     Employment
Feb 2019 - Present

  • The lead programmer for building data analytical processes for different spatial as well as non-spatial data related projects using Tensorflow, scikit-learn and Machine learning algorithms.
  • Building and improving intelligent machine learning models for data science solutions using Python and NoSQL databases such as Firebase, MongoDB.
  • Analyze data and generate insights and pipelines to automate business processes.
  • Involved in initiating research and development related to tech stacks and strategies for scaling based on the road map of the company.

Skills used: Python, Firebase, Tensorflow, scikit-learn, Machine learning

Learning Dollars     How to create a Deep Learning face mask classifier for COVID-19 in public spaces     Developer     Passion Project
May 2022 - Jun 2022

  • Developed a Deep Learning classifier in Python for detecting mask in people's faces in public.
  • Used keras library for building the VGG-net architecture of Convolutional Neural Network (CNN).

Skills used: Python, Deep learning, keras

Link to the project:

Link to the github:
Doorstead Inc.     Data Science     Data Scientist     Employment
May 2021 - Mar 2022
Real Estate

  • Development of internal dashboards for monitoring KPIs, calibrating model metrics, and predictions using Python, Streamlit, Apache Airflow and MLFlow.
  • Performed Data Analytics and outlier detection to generate monthly reports for improving marketing emails using Pandas, Matplotlib, Plotly, Docker and AWS.

Skills used: Docker, Python, Data Analytics, Plotly, AWS, Matplotlib, Pandas

UW-Madison-CMS     UWMadisonCMS     Developer     Contract
Dec 2020 - May 2021

  • Research for creating a machine learning classifier for CMS.
  • Explore and determine clustering based methods in Python for classifying data.

Skills used: Python, Machine learning

Learning Dollars     How to diagnose hypothyroid disease using Deep Learning     Developer     Passion Project
Oct 2020 - Nov 2020
Arts and Entertainment

  • Used Deep Neural Networks in Deep Learning to perform diagnosis of hypothyroid disease in Python.
  • Used Keras for building the Deep Neural Network in Python.

Skills used: Python, Deep learning, keras

Link to the project:

Link to the github:
Learning Dollars     How to generate unique architectures using GANs     Developer     Passion Project
Oct 2020 - Oct 2020

  • Used Generative Adversarial Networks (GANs) in Deep Learning to train and generate architectural images in Python.
  • Used TensorFlow for creating the deep neural network for GAN model.

Skills used: Python, Deep learning, Tensorflow

Link to the project:

Link to the github:
Docsumo     Document Parser     Data Scientist     Employment
Sep 2018 - Feb 2019

  • Built the preprocessing pipeline for Data Extraction of scanned and pdf documents using Python, Computer Vision and Image Processing.
  • Configured the Optical Character Recognition for scanned and pdf documents using Tesseract and Google Vision API.
  • Conducted extensive research on creating and improving the parameter for Natural language processing and Image segmentation using Convolutional Neural Network model for documents.
  • Deployed the document classification tool as a web app using Docker and Flask.
  • Developed the database structure and storing pipeline for MongoDB and created the testing and caching mechanism of database requests for web app using MongoDB and Redis Queue.

Skills used: Natural language processing, Docker, Python, Computer vision, MongoDB

Link to the project:
Cheque Parser     Developer     Passion Project
Dec 2018 - Jan 2019

  • Developed a OCR and parsing project for Bank Cheques.
  • The project takes in scanned or unscanned image of a Bank cheque, preprocesses it using Computer Vision and Image processing techniques.
  • The OCR is done with the help of Python, Tesseract and Google Computer Vision API.
  • Machine learning alogirthms are used to classify different areas of the image to detect Name, Account Number and other details.

Skills used: Python, Google Computer Vision API, Computer vision, Machine learning, OCR

Recommendation Engine     Developer     Passion Project
Aug 2018 - Sep 2018

  • Built a recommendation engine for recommending books based on user preferences.
  • The engine was created using Python, turicreate and uses Machine learning algorithm for Collaborative filtering.
  • The system works on the assumption that people like things similar to other things they like, and things that are liked by other people with similar taste.

Skills used: Python, Machine learning

Arch Analytics     Data Science and AI     Data Science     Internship
Jun 2018 - Sep 2018

  • Worked on major data science and AI projects involving Python Data Analytics. Responsible for conducting extensive preliminary research for feasibility and analysis of Deep Learning projects.
  • Involved in idea formation and R&D for data parser SaaS product using Computer Vision, Natural Language Processing, and Google Cloud Services.
  • Worked on research and model development for multi-label classification of HS codes using Keras and AWS Sagemaker.
  • Conducted research and developed a model for time-series analysis and prediction of Freight rates using Scrapy, ARIMA, FbProphet, Docker.

Skills used: Docker, Python, AWS, Data Analytics, Google Cloud


Kathmandu Engineering College    B.E.  (Computer Engineering)
Sep 2015 - May 2019


Data Science Nanodegree    Udacity
Apr 2018 - Jul 2018
Skills learnt: Python, Data Analytics, SQL, Data visualization, Machine learning
Neural Networks and Deep Learning    Coursera
Aug 2018 - Oct 2018
Skills learnt: Deep learning, Probabilistic graphical models, Artificial intelligence, Machine learning