Meenu Jomi

Data Analyst

Mobile : +974********

Email ID : adat4s@r.postjobfree.com

LinkedIn : https://www.linkedin.com/in/meenu-jomi- 225890148/

Gender : Female

Date of birth : 11-06-1996

Nationality : Indian

Current Location : Qatar

Marital Status : Single

Qatar ID : 296********

Driving Licence : Yes (In Qatar)

Visa Status : Family Visa (In Qatar)

Languages known : English (Proficient), Malayalam (Native), Hindi (Fluent), Arabic (Basic) Course University/Board Year of passing Grade/Marks 10th std. AISSE, CBSE 2012 10.0/A+

12th std. AISSCE, CBSE 2014 88%

Bachelor of Building

Science

School of Planning and Architecture,

Delhi

2019 60.4%

Post Graduate Diploma

in Data Science (In

Process)

International Institute of Information

Technology, Bangalore

2019 3.26 (CGPA)

Software Skills : Python (Intermediate), MySQL (Intermediate), Tableau (Advanced), Microsoft Excel (Advanced), R Programming (Basic), Microsoft Word (Advanced), Microsoft PPT (Advanced), Photoshop (Intermediate), AutoCAD (Advanced), Revit

(Intermediate)

Data Analytical skills : Python (Numpy, Pandas, Maplotlib, Seaborn, scikit-learn), MySQL, Statistics

(Inferential Statistics, Hypothesis Testing, A/B Testing), Exploratory Data Analysis

(Data Sourcing, Data Cleaning, Univariate Analysis, Segmented Analysis, Bivariate Analysis, Derived Metrics), Machine Learning (Linear Regression, Logistic Regression, Clustering, PCA, Support Vector Machines, Tree Models, Model Selection), Data Visualization, Business Analytics Personal Information

Education

Skills

Topic Objective Solution (Link to the files with solution) Prediction of

Car prices

Modeling the price of cars with

the available independent

variables.

Used Linear regression to create a model and thus

ended up predicting on a data set on python using

scikit learn tools.

(https://github.com/meenujomi/Linear-Regression)

Clustering

and PCA

Main task is to cluster the

countries by the factors

mentioned above and then

present your solution and

recommendations to the CEO

using a PPT.

Used PCA, Clustering and Hierarchical Clustering to figure out which countries needed help the most.

Used sickit learn and other tools and packages in

python to create a model.

(https://github.com/meenujomi/Clustering-PCA)

Lead Scoring

Case Study

Trying to increase the

conversion rate of people

visiting a website to join a

course.

Used Logistic Regression to create a model that will help the sales team to focus on particular methods to increase the conversion rate.

(https://github.com/meenujomi/Lead-Scoring-Case-

Study)

MNIST Digit

Recognizer

(Kaggle)

Create a model to understand

hand written digits from 0-9.

Used linear and non-linear SVM after tuning

hyperparameter to create a working model with 93%

accuracy.

(https://github.com/meenujomi/Support-Vector-

Machines-Kaggle)

Uber Supply

-Demand

Gap

The aim of analysis is to identify

the root cause of the problem

(i.e. cancellation and non-

availability of cars) and

recommend ways to improve the

situation.

Used EDA in python using packages like pandas and

numpy to give a recommendation on how to improve

the problem the company was facing.

(https://github.com/meenujomi/Uber-Supply-

Demand-Gap)

Suicide Rate

Analysis

(Kaggle)

To find signals correlated to

increased suicide rates among

different cohorts globally, across

the socio-economic spectrum.

Main objective is suicide

prevention.

Used EDA in python using packages like pandas and

numpy to give a recommendation on how to improve

the problem the company was facing.

(https://github.com/meenujomi/Suicide-Rates-

Analysis-Kaggle)

Important Links : GitHub: https://github.com/meenujomi Kaggle: https://www.kaggle.com/meenujomi

LinkedIn: https://www.linkedin.com/in/meenu-jomi-225890148/ Soft Skills : Communication, Teamwork, Adaptability, Problem-Solving, Creativity, Work Ethic, Interpersonal Skills, Time Management, Leadership, Attention to Details Other Interests : Swimming, Painting, Photography, Music, Violin Previous Analytical Projects

Other Important Information

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