Machine learning

Anuradha Adavade

Data Scientist +91-773******* **************@*****.*** 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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