Python Data Analyst
Resume:
Meenu Jomi
Data Analyst
Mobile : +974********
Email ID : ***********@*****.***
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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