Sachit Mishra

03.Work Experience:-

>_ Schneider Electric, Remote

Software Engineer InternFebruary 2021 - June 2021

Project - Late Differentiation Tool .

User Interface developer for Late Differentiation Tool - This tool generates the keys to do late differentiation of equipments. Which will enable it to fine tune them based on the requirement.

>_ REACHA, Remote

Full Stack Web DeveloperJune 2020 - July 2020

Project - Development and deployment of a dynamic website.

Part of a two member website development team responsible to increase organization global reach.
Used technologies like flask framework in python, HTML + CSS, Javascript and Bootstrap to develop the website and deployed it using Amazon Web Services AWS.
Live website link -

>_ Bharat Electronics, Ghaziabad

Research-InternJune 2019 - July 2019

Project1 - Building a deep learning model to recognize human activity using mobile phone sensor data.

Developed a time series model with an accuracy of 90% to classify basic human movements like walking, running, standing etc.
Data collection was done using smartphone sensors like accelerometer (acceleration) and gyroscope (gravitational force).
Model built on keras framework and data processed using pandas, numpy and scikit-learn.

Project2 - Small object Detection using UAV Data.

To classify different small objects like bunkers, trucks, jeeps from images taken from an unmanned aerial vehicle (UAV).
Slicing videos into separate frames and annotating various objects in the given frame.

>_ Digimode Solutions LLP, Lucknow

InternDecember 2018 - January 2019

Project - Assembly of various static websites.

Assembled numerous static websites using WordPress for clients of the organization.

04.Projects & Courses:-

>_ FinROBERTa

An NLP model built to classify sentiments of financial news headlines using pre-training and fine-tuning.
We built a model from scratch with our task-specific text corpus and later fine-tuned it on the downstream task dataset.

>_ Skin Disease Classification

Constructed an image classifier with an accuracy of 85% for distinguishing various skin diseases.
Performed transfer learning on MobileNet model trained on ImageNet dataset to get enhanced results using Keras framework and deployed on Heroku.

Courses:- Machine Learning (Stanford University, Coursera), Python and Statistics for Financial Analysis (The Hong Kong University of Science and Technology, Coursera); IBM Data Science Foundations - Level 1, IBM Data Science Foundations - Level 2 (V2), IBM Principles of Reactive Architecture.

05.Technical Skills:-

Programming Languages

Frameworks

06. Accomplishments:-

Publication - Chapter co authored by me ' Using Deep Learning for Image-Based on Plant Disease Detection ' has been published in De Gruyter Frontiers in Computational Intelligence, 8 - Internet of Things and Machine Learning in Agriculture.
Paper Publication - Got an acceptance from VIT Bhopal ICDACT-Dec 2021 for my research paper abstract titled "FinRoBERTa: Financial Sentiment Classification by Pre-training".
Reached the final round of Valeo Hackathon - Cleared the first two rounds and reached the final round of the hackathon, organized by Valeo.
SRM International Conference on Internet Of Things - Presented my research paper "Machine Learning and Big Data in Smart Farming a Review", at the Second SRM InternationalConference on Internet Of Things.
Cyware - A key speaker at a cyber security workshop held at SRM I.S.T.

Hello.

My name is Sachit Mishra

Here is a short summary about me

02. Education:-

>_ SRM Institute of Science and Technology~ 2017 - 2021

Bachelor of Technology - Computer Science and Engineering

>_ Delhi Public School~2017

XII (C.B.S.E) - Physics, Chemistry and Maths