JAIJO JOHNSON

MANNPURAM

CONTACT

Yeshwantpur, Bangalore

+919*********

adbbv8@r.postjobfree.com

linkedin.com/in/jaijo-johnson

https://github.com/Jaijo-DSc

SKILLS

Programming Languages: Python

and SQL

Tools: Git, Jupyter and Microsoft

Excel

Libraries:

Pandas, NumPy, Matplotlib, scikit-learn

, statsmodel & scipy, seaborn

ML:

Decision Tree (cart), Random forest,

Regression, Logistic Regression,

Clustering Techniques (K-means,

Hierarchical), K - Nearest Neighbors

(KNN), Support Vector Machines

(SVM), Neural Networks & Naive

Bayes.

Statistics:

Exploratory Data Analysis(EDA),

Inferential Statistics, Hypothesis

Testing, ANOVA, ANCOVA, Test

(T,Z).

Text Analytics:

Sentimental analysis and TFIDF

Dimensionality reduction technique:

Principal Component Analysis (PCA),

Correlation And Covariance

PROFESSIONAL SUMMARY

• Training at Data Science at Learnbay Training Institute co Developed program with IBM

• Certification in Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python & Machine Learning. (online)

• Advance working Knowledge in Microsoft Excel.

• 3 Years and 4 months of working experience in Teaching at Engineering Institute (UGC approved) with Master’s and Bachelor’s in Mechanical Engineering

PROJECT

Web Scraping Using Python:

Search a minimum of 50 names/contacts on full contact's (using email/twitter id) Enrich API list: These contacts could be famous celebrities, tech people i.e. people whose data is readily available. Store them in a dictionary with all the relevant fields returned by the api. Showcase the dictionary in a tabular panda’s format. Use python functions to clean the data (missing values, NaN values and repeated values.) Return the preprocessed data frame.

Gender Pay Gap (Hypothesis testing):

To check whether there is a gender bias in Spark Fortress. There is no gender or race pay gap. The result is insignificant as T -score is greater than p-value.

Al Bundy’s Shoe Shop (Inferential Statistics):

The numbers were close, however most shoe sizes seem overestimated, when we base the prediction only on one year. This may be because 2016 was a very good year for sales, while 2015 wasn't. For a single shoe size

(marked), we can clearly see that one shop outperforms the other. However, our confidence is lower. This shows that the level of confidence does make a difference. Overall the two shops are extremely similar in terms of sales.

Real Estate company in California (Descriptive Statistics): Created a frequency distribution graph and a histogram which represents the Price variable. The histograms point to similar insights - most of the properties' prices are concentrated in the interval ($217,564.07 to 317,564.07). Created a scatter plot showing the relationship between Price and Area was very strong linear relationship between them. The skew is right (positive). This means that most properties are relatively cheap with a tiny portion that is more expensive.

Spam Classifier: To predict whether a message is a spam or not. Others : Outlier detection, Inter quartile

range, Variance, Sampling techniques,

Five point summary, Label encoder One

hot encoding and Bias-variance trade

off.

LANGUAGES

English

Hindi

Gujarati

Malayalam

Libraries used are NLTK, pandas and flask for deployment. Algorithm used in Naïve Bayes Classification.

Banking Data Analysis:- Predicted if the client will Subscribe a term deposit or not by using Random forest, Decision Tree, Logistic Regression and Support Vector Machine.

Sentiment Analysis:- Predict whether a given sentence is negative or positive using Logistic Regression, Random forest and Naïve Bayes . Other Projects: Titanic dataset, Iris dataset, Australian Emigrant and Immigrant dataset, Boston house price prediction, Cancer prediction, Car Sales dataset, Diabetes prediction and HR attrition analysis. WORK EXPERIENCE

Assistant Professor/ JSPM’s “Imperial College of Engineering and Research”

July 2015 – Nov 2018

• Deliver a range of programs of study (including where required, new courses) at Bachelor.

• Educate and improve student knowledge and career skills within the field of Mechanical Engineering.

• Develop an instructional plan (course outline or syllabus) for the course(s) and ensure that it meets department / discipline standards.

• Assist in development of the quality assurance framework within the Academy’s overall framework, including the validation and re-validation of courses, and student admission and assessment.

• Stay informed about changes and innovations in the field of Mechanical Engineering.

• Participate in student support on academic, career and personal development matters.;

• Coordinate with other departments to facilitate the accomplishment of tasks and responsibilities, as and when needed.

• Subject taught: Mechatronics, Numerical Methods and Optimization, Engineering Graphics and Mechanics

• Handling Analysis reports of Student results, Performance of Department, Performance of Faculty members, Gap analysis, etc using Microsoft Excel and Documentation using

Microsoft Word and PowerPoint.

EDUCATION

Master's degree in Heat Power (Mechanical) / Pune University March 2015

Bachelor's degree in Mechanical Engineering / Pune University March 2012

Higher Secondary Certificate / State board of Gujarat July 2007

Secondary School Certificate / State board of Gujarat July 2005

ACHIEVEMENT

• Awarded as a “Star Performer” for the academic year 2016 - 17 (ICOER).

• Participated in “International conference on Recent advances in Mechanical Engineering” in the year 2015 an awarded

“First Prize” for the topic “Optimization of Wind

Photovoltaic Hybrid System”.

PROFESSIONAL TRAINING

• Training at Data Science at Learnbay Training Institute co Developed program with IBM

• Certification in Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python & Machine Learning. (online)

• ITIL Foundation Certification in IT Service Management

• National Level ISTE Approved One Week “Short Term Training Program on Renewable Energy – Opportunities and Challenges “Organized by Department of mechanical

Engineering, Sinhgad Institute of Technology, Lonavala During October 26th -30th, 2015. Sponsored by Indian Biodiesel Corporation Baramati.

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