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Rutvij 

Bhutaiya

Management professional re-skilling for Industry 4.0 - focused in and around Data and Statistical Analysis. Successfully deploying investment analysis and financial products advisory with 6+ years of experience.
PROFESSIONAL 

EDUCATION

Great Lakes Institute of Management

BACP Program from Great Lakes Institute of Management was focused in and around Data and Statistics Modelling. The program has immensely benefited to open a new perspective towards Industry 4.0 skillsets.

IILM Institute for Higher Education

Full-time Post-Graduation in Management helped to open up a whole new perspective towards business practices across industries. Headed IILM Current Affairs Club at institute level, and made the club one of the most active in the community.

A. D. Patel Institute of Technology 

Graduation in Computer Science helped to experience rapid fast technology. Experienced computer and information technology knowledge, with on-hand experience on tech tools and platforms. 

Data Science Projects

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NIFTY - Volatility Prediction

Studied Five diffrent Methods to Predict the Stock Market Volatility based on Macro factors. Achived Results with MAE of 0.44% and R-Square of 73% 

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Text Mining
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Applied Text Mining on PS Articles, to take a view on COVID crisis with the use of Natural language Processing (NLP). Studied Sentiment Analysis and Term Frequency analysis. 

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McKinsey Big data hackathon (CAX)

Crowd AnalytiX (CAX) - McKinsey Big Data Hackathon to predict the probability of an offer being accepted by a certain driver. Study included some of the best feature selection and EDA techniques. Compleated study with 76% accuracy. And AUC of 0.6464. 

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Indian State Assembly Election

Elections are more about human perception and behavior. After studying Rajasthan state assembly elections, with Regression Tree and Multinomial Logistic Regression, we came to the conclusion that CAND_PARTY plays an important role in elections outcomes.

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ICC Cricket world cup 2019

ICC World Cup 2019 match prediction Game, based on Individual teams’ past performances. Individual match prediction is done based on Random Forest and Logistic Regression models, with 64.4% and 67.7% respectively correct prediction.

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COVID-19: Twitter Analysis

Study is to do the analysis on official twitter account from top countries health department and WHO twitter account on COVID-19 breakout since 31st Dec 2019 in Wuhan, China. We analysized which countries health departments are most active in this war against pandemic.

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customer engagement

K-means cluster analysis was done for Thailand Fashion Retailer. Facebook engagement metrics like comments, shares, and reactions were analyzed for better customer retention. The silhouette index is 0.40 and 0.84 respectively for two clusters. 

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SPEECH DETECTION USING - MFCC

The objective of the study was to extract the features from the speech wave. The speech also reflects the mood of the person and their emotional condition while talking

Practicle uses can be Sales, Telecaller, Recruitment, etc. 

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Used car price

Predict used car price for MachineHack challenge. Interesting predictions, One, predicted missing data variable which had a correlation of +0.72 with the target variable. Two, target variable prediction. 

LEARNING

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MEDIA PRESENCE
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statistics 
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Data science
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Financial planning
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Machine learning
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Economy & Investment
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