Deepak Mishra

CTO

Gurugram, Haryana, India9 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building robust machine learning models.
Significant experience in cybersecurity and malware analysis.
Leadership role in technology and data science at FarMart.

Stackforce AI infers this person is a Cybersecurity and Data Science expert with a focus on machine learning applications.

Contact

deepakmishra@farmart.co LinkedIn

Skills

Core Skills

Malware AnalysisMachine LearningAndroid Development

Other Skills

1D convolution networksArduinoComputer VisionConvolutional Neural Networks (CNN)Deep LearningFeature engineeringImage processingJSONJavaJavaScriptKerasLeadershipMLMachine Learning AlgorithmsManagement

About

We enable retailers to serve their farmers better and provide them with market access. FarMart is building an alternative food value chain that is transparent and financially rewarding for both farmers and businesses. Are you passionate about the intersection of tech and food? Write to us at letsbuildthefuture@farmart.co

Experience

9 yrs 4 mos

Total Experience

3 yrs 1 mo

Average Tenure

4 yrs 4 mos

Current Experience

Farmart

2 roles

Vice President - Technology and Data Science

Promoted

Nov 2023 – Present · 2 yrs 7 mos · Gurugram, Haryana, India

Vice President - Data Science

Feb 2022 – Nov 2023 · 1 yr 9 mos · Gurugram, Haryana, India

Draup

3 roles

Architect - Data Science

Promoted

Aug 2021 – Feb 2022 · 6 mos

Senior Data Scientist

Promoted

Feb 2020 – Oct 2021 · 1 yr 8 mos

Data Scientist

Jan 2019 – Feb 2020 · 1 yr 1 mo

Symantec

2 roles

Associate Threat Analyst

Jul 2017 – Jan 2019 · 1 yr 6 mos · Pune/Pimpri-Chinchwad Area

UI Application Auto-analysis Framework
Optical character recognition and image processing to extract differently colored text.
Feature engineering and sentiment analysis to build classification models.
Impact: Application analysis time reduced from 4 hours to 5 minutes with 96% accuracy.
Windows Executable Malware Classifier
Leveraged inhouse emulator to get sequence data of exe file executed instructions
1D convolution networks to build robust malware classifier.
Impact: Achieved 97.5% accuracy with a model robust to polymorphic malwares.
Mac Malware Classifier
Studied mach-o file format thoroughly and extracted over 500 features.
Exploratory data analysis and feature engineering to get better features.
Impact: Robust model that achieves over 99% accuracy.

Malware AnalysisOptical character recognitionImage processingFeature engineeringSentiment analysis1D convolution networks+1

Intern - Undergraduate, Enterprise Security Product Development

Jul 2016 – Dec 2016 · 5 mos · Pune/Pimpri-Chinchwad Area

Automation of customer migration from legacy to current PKI(Pubic Key Infrastructure) offering.

Adani power limited

Summer Research Intern

May 2015 – Jul 2015 · 2 mos · Ahmedabad

A project on " A smart cleaning and cooling system for photovoltaic panels " .
Project required the use of Android app development , Arduino programming , hardware interfacing and Web Development .