Sanjeet Maisnam
HireSanjeet

Sanjeet

Paris, France id="timeZone">--:--:--

Seasoned Data Scientist & Machine Learning (ML) Engineer with experience in ML lifecycle, Data Engineering, and Cloud Technologies. Proficient in the development of production-level Machine Learning and Data Pipelines, mathematical research, and ML Research, particularly in Geometric Deep Learning.

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Skills
Years
1
2
3
4
5
6
7
8
9
10+
Java
Docker
Tensorflow
Tableau
Airflow
NLP
Python
Spark
BigQuery
AWS
Git
NoSQL
GCP
PyTorch
SQL
Keras
Developer Personality

Independent

Collabrativer

Trailblazer

Conservative

Generalist

Specialist

Planner

Doer

Idealist

Pragmatist

Abstraction

Control

100
50
0
50
100
Feature Experience

Predictive Analysis

Algorithms

Project Management

Digital Marketing

Business Intelligence

MODERATE
EXTENSIVE
EXPERT
Cultural Experience

Technical Lead

Enterprise

Research

Mathematics Theory

Probability and Statistics

MODERATE
EXTENSIVE
EXPERT
Portifolio

Pertimm

Tech Lead, ML Team & Data Engineer

Work Experience : 2015-2020

Developed Data Integration pipeline, e-commerce KPIs and dashboards, delivered production level ML pipeline for three algorithms: AR Background Remover, Doc2vec recommendation, and E-commerce Web Scraping as microservices through hands-on development and supervision of an ML team of 7 people, developed and deployed Neural Graph based recommendation models for e-commerce clients, and developed data collection servers.

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Hello Birdie Golf & EPITA

Data Scientist & Back End Developer

Work Experience : 2015-2020

Developed data flow architecture for NLU Principal Research and Innovation Project, analyzed and restructured data using feature engineering for efficient storage and usage, and set up back-end services of real-time database for a conversational Golf Caddie app of Hello Birdie on Google Cloud Platform, using Firebase, Dialogflow, and Cloud Functions.

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Jawaharial Nehru University

Machine Learning Researcher

Work Experience : 2015-2020

Researched Machine Learning and Deep Learning techniques along with their connections to geometry. Published a paper on the stability of neural networks with delay feedbacks. Other key projects include: part-of-speech tagging through machine translation using NLP ecosystem, K-means clustering Spark pipeline, sentiment analysis of Twitter tweets using RNN GRU and CNN (softmax activation), Exploratory data analysis on suicide rates worldwide using Dataiku Data Science Studio, NLP Fasttext cbow and skipgram implementation of "Word embeddings" of Wikipedia dataset, Visualization and analysis of SNCF station data via Dash, Multiclass classification of Italian wine data from UCI website using Multinomial Logistic Regression, and Speech emotion detection using Multi Layer Perceptron and optimization by Stochastic Gradient and Adam

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