Ayushi Malaviya

+1-551-***-**** adut8a@r.postjobfree.com https://github.com/Ayushimalaviya

OBJECTIVE

I am highly motivated and eager to learn and adapt the disruptive decisions. I want to drill under ingenious minds to stand confidently and serve the best of my ability to the organization. I believe that minute perfection with different perception and ideas can have impressive effect on achieving agile goals. Avidly interested in Full Stack Data Science and Machine Learning development Internship. EDUCATION

Masters in Computer Science, Stevens Institute Technology, New Jersey Aug 2022 – May 2024 Bachelors Information Technology, P.P. Savani University, India CGPA: 8.80/10 Aug 2017 – May 2021 Higher Secondary School, Swaminarayan Vidyapith, India CGPA: 8.4 /10 (CBSE) Aug 2015 – May 2017 Secondary School, Swaminarayan Vidyapith, India, CGPA: 9.4/10 (CBSE) Aug 2013 – May 2015 TECHNICAL SKILLS

Programming/Scripting Languages: JavaScript, R, Python (Proficiency), Java Frameworks/Libraries: Pandas, NumPy, Tensorflow, Seaborn, scikit, matplotlib, keras Visulisation Softwares: Power BI, Tableau, Excel

Databases: MySQL, Oracle database

Shell scripting: Windows, Linux (Ubuntu), docker (beginner) Environments: Jupyter, SAS, R Studio, OracleInstaClient, workbench Other: Gitbash, Postman, Azure devops

PROFESSIONAL EXPERIENCE

Tata Consultancy Group, Software Engineer, India March 2021 – 0ctober 2021

• Direct software programming and development of documentation.

• I worked on a South Africa-based banking software for the Standard Bank (SBSA) using different technologies such as python, JavaScript, and Oracle.

• I followed stricter agile methodologies for application development and deployment by using Git bash.

• Written procedures, and functions in python and oracle, and created data structures for particular modules of the software.

• I worked on modules such as in the SBSA software such as car hire, Glass Repair, Auto boys, SP Panel Beater, SP Repairer, and Invoice.

SRKay Consulting Group (Intern), Web Developer, India Jan 2021 – March 2021

• Worked on different modules of Library Management Software using flask, MYSQL, and Postman.

• Created a website for the company in a team wherein I developed UI and written code using JavaScript, html5, and CSS.

• Created a backend structure to store and manage updated data. PROJECTS (Available on GitHub)

Bank Churn Dataset (Classification Model):

• Bank often use the customer churn rate as one of their key business metrics because the cost of retaining existing customers is far less than acquiring new ones, and meanwhile increasing customer retention can greatly increase profits.

• There are 7 continuous features and rest categorical features including target variable.

• First of all, I converted categorical features and removed unusual features after performing feature selection.

• Here, to avoid oversampling issue, I used SMOTE (synthetic minority oversampling technique). After using it, the dataset predicting quality increased and reduced the chances of overfitting. Breast Cancer Dataset of Wisconsin (Classification model)

• This dataset consists continuous 30 features which difficult to cluster into Benign and Malignant clusters.

• Therefore, I used Min-Max scaler to scale dataset in range of (0,1) to avoid negative values and performed principal component analysis on the dataset.

• After that, I performed Hierarchical clustering, Kmeans clustering, Artificial Neural Network and Self organizing map to evaluate the data performance and analysis. Housing Price Prediction (Regression model)

• The goal was to design a Regression Model to predict median_house_value on the basis of given input features corresponding to California district block.

• There were 8 continuous features which were scaled using Standard Scaler and 1 categorical feature which encoded using one-hot encoding.

• In this model creation, I performed Data preprocessing, data visualization, data splitting, data scaling, data modelling and evaluation.

ACHIEVEMENTS

• In 2019, Fund was offered by Govt. Of Gujarat for best Innovative Project (Smart Shoes).

• In 2018, My team achieved Best Play award and I was also choreographer of play.

• In Smart India Hackathon 2017, I was team leader and my team got qualified for final round from 180 teams.

• At school time, I achieved Wise Prefect position (led 120 girls).

• Gold medalist at district level in Taekwondo.

CERTIFCATES

• Machine Learning course by Stanford University (Course Era).