Ismail D

Ismail D

Data Scientist (ML Engineer)
India

About Me

Having 9+ years of IT experience and extensive experience as Data Scientist. Experience in Machine Learning Techniques, Statistical Analysis and Predictive Modeling. Involved in Data science project life cycle including …

Experience

Software Engineer Associate

ITC
Feb 2020 - Present · 6 years 4 months

ML Engineer(Data Scientist)

Associate Consultant

ITC Infotech
Feb 2020 - Present · 6 years 5 months

Associate Consultant

ITC Infotech
Feb 2020 - Present · 6 years 5 months

Assisted in determining in client needs, deliverable design and feasibility for project.
Coordinate with BA’s in understanding requirements and data flow system.
Set up Deposit Trends Summary model to analyze inflow and outflow of deposit trends.
Worked on EDA to visualize the relationship between input features and output features.
Implemented data mining to describe and to predict user behavior of deposits.
Monitored statistical programs for accuracy, consistency and validity.
Analysis Datasets and performed feature engineering.
Implemented Predictive and Estimation ML models.
Working on Deep learning techniques to improve the model performance.
Created pipelines to chain multiple estimators and automate the process.
Developed dimensional data to satisfy the OLAP needs.
Worked on metrics to evaluate Model performance.
Participated in post project review with QIP(Business team)
Automation of Reporting.

Software Engineer

Smartried(TCS)
Sep 2016 - Feb 2020 · 3 years 5 months

Consultant

Capgemini India Pvt Ltd.
Jan 2014 - Oct 2015 · 1 year 9 months

software Developer

Ifact Tech
Aug 2011 - Dec 2013 · 2 years 4 months

Software Engineer

Smartried(TCS)
Sep 2016 - Feb 2020 · 3 years 5 months

Consultant

Capgemini India Pvt Ltd.
Jan 2014 - Oct 2015 · 1 year 9 months

Software Developer

Ifact Tech
Aug 2011 - Dec 2013 · 2 years 4 months

Skills

Data Analysis Professional Data Storage Python SQL Database Statistics Python 3.x Pyspark SQL Postgresql Unix Regression Logistic Regression Decision Trees Random Forest Gradient Boosting SVM kNN K-Means Clustering PCA NLP Oracle SQL Developer Teradata DB2 PgStudio Informatica Power Center 8X TOAD MSTR PowerBI GitHub uDeploy HPQC ControlM Azure AWS IICS Microsoft Windows Ms Office Suite PySpark PostgreSQL MS Office Suite Azure ML MLlib scikit-learn TensorFlow Keras Git Unit testing CI/CD Tableau Remedy SDLC BTEQ Fast Load MultiLoad Stored procedures GridSearchCV Time Series ARIMA
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