日本と海外をつなぐクラウドソーシング

AAEROFOLIC BUSINESS SOLUTIONS PRIVATE LIMITED

AI Developer

2019/01～

Aerofolic in the field of Engineering, Procurement, Training and Resources management solutions to various industrial sectors such as, Engineering,
Manufacturing, Aerospace, Automotive, Oil & Gas and ITe.

MAJOR PROJECTS ACHIVEMENTS
https://github.com/nmullick
https://www.kaggle.com/nmullick
https://www.kaggle.com/c/house-prices-advanced-regression-techniques/leaderboard#score
With prediction results rank among top 13% closer to accurate prediction, ranking 532 out of 4500 entries in KAGGLE Competition.

• HOUSING MARKET PRICE PREDICTION: Compare the model performance among (i) LASSO, (ii) random forests regression, (iii)
XGBoost, and (iv) stacking (v) Kernel Ridge regression, to predict House Prices, The goal of this competition is to predict the price of residential homes in Ames, Iowa using the provided 79 explanatory variables. This one is a regression problem, with XGBoost + Lasso Giving better prediction results.
• Fault Detection & Analysis using Machine Learning, NLTK Natural Language Tool Kit, using word tokenization, stemmed word, Lemmatizer word. Inputting CSV Data to TABLEAU to generate Cluster Analysis Report.
• STOCK MARKET ANALYSIS PROJECTS & ALGORATHIMS: Gathers machine learning and deep learning models for Stock forecasting, included trading bots and
simulations. Deep Feed-forward Auto-Encoder Neural Network to reduce dimension + Deep Recurrent Neural Network + ARIMA + Extreme
Boosting Gradient, Regressor, Adaboost + Bagging + Extra Trees + Gradient Boosting + Random Forest + XGB.

EXTRA ACTIVITIES
• Team Lead for 12 to 15 engineers for above mentioned major projects Fault Detection & Analysis, HOUSING MARKET PRICE PREDICTION,
STOCK MARKET ANALYSIS PROJECTS & ALGORATHIMS.
• NLP, Image processing, Image Thresholding using Open CV, Keras, Tensorflow etc.
• Web Crawling & WebScrapping of online pdf files using tika parser, converting it to DataFrame, and publishing html format.
• Currently working on ImageParsing, Text Image Generator, Neural networks, Mask RCNN, pooling/network layers conceptual project.

PYTHON ANALYTICS PROJECTS Nov 2018 – TILL DATE
Position- Student: IMSPro School
PG Diploma in Data Science(Stastistics, R) from IMSPro School (Certificate of Completion) a Skill India Initiative by Mr. Modi Government.
Finished Python, Training from Inventateq. Following projects during the program.
Rename the Builds Versions and truncating them, on SQL Database return queries and closing the connection.
• SQL Database, fetching email addresses from assigned category, counting the severity, and task associated databases.
• Well Verse with Stastistics Concepts like Linear Regression, Logistics Regression, Clustering, Market Basket Analysis, Time Series, Basic
& Advanced Statistics etc
GITHUB-PROJECTS PUBLISHED:
• https://github.com/nmullick/Scientific-Calculator
Python Inventory Control System program.
• https://github.com/nmullick/ZerodhaAssignmentz (Stock Market Analysis, Publishing higher top 10 stocks out of list of stocks using csv files,
and converting it to Data Frame and printing it to html page).
Wireless Systems Technical Support, CANADA
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