Mohammed Dadapeer

*+ years experienced Financial Associate & Certified Data Science professional with a proven track record of deploying data science methodologies to resolve complex issues. Proficient in building deep- learning, predictive modeling and machine learning models to render companies in decision-making. Adept at catering to international clients and providing adequate support to team members to accomplish organizational goals.

Dadapeergmail

Bangalore, India

Linkedin Profile

EDUCATION

POSTGRADUATE CERTIFICATE IN

DATA SCIENCE

Insofe Certified from Carnegie Mellon

University USA Certificate

11/2019 - 07/2020. bangalore

Courses

Advance NLP with Business Analytics:

Python for Machine Forecasting with Trended

Learning, Linkedin More Baseline Smoothing,

Linkedin More

SQL Server Machine Machine learning with

Learning Services : Scikit-learn, Linkedin

Python, Linkedin. More More

Big Data Analytics with Introduction to Spark

Hadoop and Apache SQL and DataFrames,

spark, Linkedin More Linkedin More

+91-974*******

WEB - PORTFOLIO

Github profile

GENERAL SKILLS

Artificial Intelligence Machine Learning

Statistical Analytics Data Visualization

Database Structures and Algorithms Data preparation PERSONAL PROJECTS

1 Predict Severity of Airplane Accidents

Predict Severity of airplane accident using ‘Accident ID’. Required to build Machine Learning models to anticipate and classify the severity of any airplane accident based on past incidents.

To analyse and implement multiple algorithms and determine which is more appropriate for a problem. Pre-process and clean the data for modelling. Train a classification model using Logistic Regression, SVM, Random Forest, XGBoost, AdaBoost, Decision Tree, Bagging Classifier, Voting Classifier More.

WORK EXPERIENCE

FINANCIAL ASSOCIATE

Capgemini technology services

12/2017 - 03/2020, Bangalore

Achievements/Tasks

Managing Accounting Records of Australian clients. Handled both purchase order and non-purchase order invoice

Conducted invoice verification, coded with General Ledger, and ensured approval of payments

Provided adequate support to the team members to

alleviate critical issues and accomplish the goals Carried out both manual and auto payments after the seeking the approval for the same

Evaluated company reconciliation including provision booking, general & purchase ledger & reversal provision Revered with Rising Star Award for demonstrating

unparalleled flexibility, commitment, and dedication Assessed the process and resolved complex

company issues thereby receiving the Value

Creator Award

2.Broadband Outage Detection. [Retail Industry]

Indian Broadband Company is Facing Outages duration, Task is to predict the outage duration with the features.

Modelling framework to predict classification of three class (0,1,2), Trained using Decision tree, Random Forest and XGBoost More. 3.Merchant Fraud Detection. [Financial Industry]

An e-Commerce wants to expand its operation in several countries it wants to avoid the merchant frauds, financial analysis. Predict the Merchant Fraudulency via Modelling Framework Deployed Logistic Regression, Decision tree and support vector machine. Created classification models to facilitate the e-Commerce company to detect frauds More.

TECHNICAL SKILLS

Programming Language:

Python, R Programming, SQL, PySpark, HTML, CSS.

Application and Cloud:

Tableau, Google Cloud Platform, AWS, Power BI, Spark, Visual studio, MS Excel, Power point.

Data Science Libraries:

Pandas, NumPy, Scikit-learn, TensorFlow, Keras, SciPy, Seaborn, Matplotlib, ggplot2, caret, Spacy, Plotly,OpenCV Data Science Coursework:

Machine Learning, Artificial Intelligence, NLP, Computer Vision, Deep Learning, Neural Networks.

INTERESTS

Cricket Bike Learning New Things

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