Anuradha Adavade

Data Scientist +91-773******* admpeo@r.postjobfree.com Mumbai, IN

OBJECTIVE

To enhance my professional skills, capabilities and knowledge in an organization which recognizes the value of hard work and trusts me with responsibilities and challenges. KEY SKILLS

• Machine Learning Methodologies • Supervised Machine Learning • Unsupervised Machine Learning • Optimization Techniques • Time Series Analysis • Text Mining • Random Forests • Ensemble Models • Predictive & Statistical Modelling • Logistic Regression • Linear Regression EDUCATION

Certificate Course in Machine Learning Engineer AI Analyst Jan '20 - March'20 Symbiosis Skills And Professional University Pune, IN Course Modules:

Statistics For Machine Learning Statistical Inference Regression Modelling Python Programming Data Extraction Machine Learning Classification Techniques Time Series Analysis

Bachelor of Engineering In Electronics And Telecommunications Jul '17 - Mar '20 University of Mumbai, IN with 61.82 percentage

Diploma In Electronics And Telecommunications Jul '15 - May '17 MSBTE Mumbai, IN with 66.88 percentage

HSC In Science Jun '13 - May '15 Maharashtra board Mumbai, IN with 46.31 percentage

SSC Jun '13 Maharashtra board Mumbai, IN with 75.80 percentage TECHNICAL SKILLS

Machine learning, Statistics

Languages : Python, C++, Java,

Software: Anaconda, Pycharm, Jupyter Notebook, Tableau Public Database: MySQL Workbench

Libraries: Pandas, Numpy, Seaborn, Matplotlib, Sklearn, SCIPY,etc. CERTIFICATIONS

MS-CIT

EXTRA CURRICULAR ACTIVITIES

Content writer in Data Science blogs.

Sports Secretary in College

Represented as Council Member in Student Council Committee

Runner up in Cricket

KEY PROJECTS

PROJECT 1: Project On Banking Domain

Client: Loan borrower data

Problem Statement : Ensure NPAs are lower – meaning Peer Loan Kart wants to be very diligent in giving loans to borrower

Output: We forecasted the accuracy of customer who are eligible for specific amount of loan from a bank PROJECT 2: Diabetes Prediction Bangalore,'16

Client: Max Super Speciality Hospital

Problem Statement: Make predictions based on the patient’s characteristic data set to predict whether s/he is diabetic or not.

Output: We predicted the accuracy of patient who are diabetic or not INTEREST

Sports

Travelling

Listening to music

Participanting in Social Activities

PERSONAL STRENGTHS

Willing to work as a key player in a challenging and creative environment.

Hardworking

Willing to learn new skills and above all good team player.

Good in communication skills

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