Manishanker Talusani

5.0

(34 reviews)

US$20.00

For every 15 mins

Sessions/Jobs

First 15 mins free for your first session

ABOUT ME

Senior Software engineer with 6 years of experience in building high QPS ML products | Passionate Machine Learning teacher

I am a Senior software engineer with 7+ years experience building software products that are scalable, secure and resilient. I've built Machine Learning platforms from scratch and worked with large enterprises such as Inmobi (Asia's biggest Adtech company), Charles River Laboratories, AusNet Services, Forward Edge AI, Justdial (India's largest yellow pages company), IPsoft Research to reduce cost and improve performance.

I am passionate about innovation powered by Machine learning. I love traveling and exploring deep blue seas.

I have taught total of 300 students in class room and online on Introduction to Python, Statistics, Machine Learning. Mentoring students in their Data science journey as a remote mentor for Thinkful Inc [New York]

Technological skills:

Languages: Python3, Java, Javascript, NodeJs
Frameworks: Apache Spark, Tensorflow, Google Dialogflow, FLASK, Kubernetes, Docker, Spring Boot MVC
Databases : Mysql, MongoDB
Cloud : Azure
- AKS, Keyvault, VMSS, Blob, Azure Databricks, Azure Machine Learning Studio, Azure Batch
AWS
- EC2, EMR, S3, Lambda

Datascience Specific packages : pandas, numpy, matplotlib, scikit-learn, keras, scipy, jupyter notebook, Google colab

Achievements:

Google summer of code intern at Openstack
Favorite Datascience teacher award

References :

I love working on solving some challenging problems. I am very passionate about teaching and mentoring others. I believe a lot in this quote:

Give a man a fish, and you feed him for a day. Teach a man to fish, and you feed him for a lifetime.

When I am not writing some code, I love to stay updated on recent advancements in Machine Learning. I love traveling and experiencing new cultures. I enjoy meeting people from different background and interacting with them and learning from them. This has enabled me to think in multi dimension and has ingrained me with a attitude of asking why to find more answer and always stay curious.

I have done total 6 scuba dives in Thailand(1), Bali(4), Ibiza(1). I am always up for a healthy discussion on topics like travel, discovering yourself, learning from others.

Hindi, English

Kolkata (+05:30)

Joined February 2020

EXPERTISE

Machine learning

4 years experience | 1 endorsement

- Built a Intent classification system using CNN, Spacy, NLTK, Gensim to classify a given text into a specific category - Have lot of ex...

- Built a Intent classification system using CNN, Spacy, NLTK, Gensim to classify a given text into a specific category - Have lot of experience in Scraping using Beautifulsoup, Scrapy, Goose - Built a chatbot using Google Dialogflow - Built an Image classification system using Flask, Tensorflow, Transfer learning - Taught 300 students online and in classroom from basics to advanced concepts

Python

6 years experience

Infrastructure

3 years experience

REVIEWS FROM CLIENTS

5.0

(34 reviews)

Ca De

June 2020

I had an issue that was impossible to solve. Manishanker uses various solutions to attain the solution of the issue. At the end, he provided me with a better solution that will be useful to me in the future.

Akshay Nair

May 2020

Mani was excellent and truly an expert in deep learning algorithms.

Alex P

April 2020

FAst and great outcome

hope tarry1

March 2020

Mani is excellent. really helped me with the work. very patient and a great teacher.

Xavier Reigneau

March 2020

Awesome help!

Removed User

March 2020

Very helpful and good mentor, works quickly and explains well!

David McDonald

March 2020

Manish helped me implement a SVM model using sk-learn in Python. He asked a lot of questions and explained the answers in a patient manner which really helped me understand the concepts. Would highly recommend for anyone looking to learn Python!

Abhishek Huddar

March 2020

Mani helped me solve my issue in a quick and understandable fashion. A big thanks

sonakshi pattnaik

March 2020

One of the best mentor. He was took quick and gave the exact re script to my issue. Best in Python for any kind of issue or query or projects. Patience is a good skill to understand the problem of the client. He understands it perfectly. Thank you.

Peter

March 2020

Provided a quick session on linear regression and was great. Very thorough and clear.

SOCIAL PRESENCE

GitHub

cnn_text_classification

Build a model which automatically classifies an article under Finance, Law, Fashion and Lifestyle, using the data from leading magazines for training the model.

Python

statistics_ML_jan_2020

This repo holds all code examples shared in Statistics and ML class in Jan 2020 batch

Jupyter Notebook

Community Posts

Web scraping for Machine Learning

Web scraping for Machine Learning in Python3 using Goose

EMPLOYMENTS

Dataengineering Lead

Charles River Labs

2020-12-01-2021-06-01

-Built notebooks in Azure Databricks to migrate Master Data Management customer data from Oracle to Azure Data Lake storage -Built cleans...

-Built notebooks in Azure Databricks to migrate Master Data Management customer data from Oracle to Azure Data Lake storage -Built cleansing and cleaning rules to support various business needs to enrich MDM data -Document and build pipeline in Azure Datafactory to reuse data pipelines for every data refresh -Optimize Pyspark code leveraging Databricks cluster and Spark internals to migrate data quicker

Oracle

Azure

Apache Spark

Oracle

Azure

Apache Spark

Databricks

Azure data factory v2

Adls v2

Reltio

Data engineer

Ausnet Services

2020-10-01-2021-03-01

-Built data pipelines in Python, Pyspark, Azure Datafactory V2, Data Vault 2.0 for ingesting data from Energy source companies like Polic...

-Built data pipelines in Python, Pyspark, Azure Datafactory V2, Data Vault 2.0 for ingesting data from Energy source companies like PolicyNet, CIS with combined data size of 20GB per day -Built data pipelines in Azure datafactory V2 to migrate data from source to destination following the bronze, silver and gold data warehousing concpet -Wrote databricks notebooks to implement Data vault data warehousing concepts to create Hub, Link and satellite. Datavault 2.0 is used to generate daily reports to the stakeholders to asses the energy consumption across Victoria region in Australia -Efficiently use Delta Lake concepts for time capsuling the data in Azure Datalake storage -Setup and co-ordinate complete Test2 infrastructure in Azure

Azure

Python 3

Databricks

Azure

Python 3

Databricks

Adls

Databricks delta lake

Datavault 2.0

ML engineer

Forward Edge AI

2020-08-01-2020-11-01

-Developed Rules Engine service which will act as a thin flexible ML engine which can be updated regularly as per business requirements t...

-Developed Rules Engine service which will act as a thin flexible ML engine which can be updated regularly as per business requirements to catch keywords in Spam and Scam phone calls -Built dashboards in python using location data to visualize the relationship of events from Gdelt events database using Geopandas. These dashboards are used to analyze the prevalence of scam phone calls across several states in USA -Built Model catalog service which pulls model related information from Azure Databricks, Mlflow, Mlflow model registry -Deployed NLP models in Azure using Azure Functions. Worked with Android and IOS team stakeholders to incorporate ML API -Built heuristics using statistical measures like Levenstein distance to find patterns in cluster of scam calls. Integrated with Azure Cosmos db to trigger and alert users of new trends in scam

Azure

NLP

TensorFlow

Azure

NLP

TensorFlow

Data warehouse

TensorFlow Lite

Databricks

Azure function app

MLflow

Azure cosmos db

PROJECTS

Teaching - Introduction to Python, Statistics, Machine LearningView Project

Learnbay

2019

Teach students with no prior knowledge of ml. Course structure can be viewed here : https://drive.google.com/file/d/1QMbaMyB1O8BAusq6Zc...

Teach students with no prior knowledge of ml. Course structure can be viewed here : https://drive.google.com/file/d/1QMbaMyB1O8BAusq6ZcHoZi60fYz_8wm5/view Pandas, Numpy, Matplotlib, Introduction to statistics - Mean, median, mode, variance, Standard deviation, Box plot, Histogram, Bar graph, Normal distribution, Hypothesis testing, T-test, Anova, Ancova Linear regression, Logistic regression, Decision tree, Random forest, Naive bayes theorm, SVM, Neural networks. NLP - word2vec, tokenization, Sentence classification

Python

NumPy

Pandas

Python

NumPy

Pandas

Machine learning

Neural Networks

Deep Learning

Dialogflow chatbot for FrontM

FrontM

2019

FrontM platform connects people, machines, processes and partner ecosystems to create seamless mobile experiences and services, on-ground...

FrontM platform connects people, machines, processes and partner ecosystems to create seamless mobile experiences and services, on-ground, in-flight, at-sea or anywhere remote. I have designed a FAQ chatbot using Dialogflow for facilitating easy QA for customers

Google Cloud Platform

Dialogflow

Google Cloud Platform

Dialogflow