Social Media Python

Ankita Amol Deshmukh

929-***-**** • ******.***@*****.*** • https://www.linkedin.com/in/ankitadeshmukh08

2+ years of Python programming experience with Django and Flask frameworks 1+ years of experience with Data Analysis and Visualization using SQL, pandas, NumPy and Tableau

EXPERIENCE

New York Institute of Technology

Summer Research Intern May 2020 - Present

Collecting and analyzing social media data by using Python and APIs and NumPy, pandas along with interfacing of 3rd party APIs

Performing predictive analytics using quantum mathematics to build machine learning models Graduate Research Assistant January 2019 – May 2020

Recorded and collected unstructured bipotential data using Mobita-32 channel wireless EEG system

Automated conversion of unstructured data into CSV using Python and Tableau thereby improving efficiency and impact of data

Provided resolutions to data mapping with python Matplotlib. Collected data using python, NumPy, and pandas

Demonstrated the model’s result to develop unsupervised clustering metrics

Designed executive dashboards with Tableau visualizations using MS Excel VLOOKUP, Pivot tables Paradise Telecom Pvt. Ltd February 2017 – July 2018 Technical-Data-Support Engineer

Maintained company’s active database via SQL querying, schema design and regular backups

Performed Extraction, Transformation and Loading (ETL) importing previous records and validated data for customers

Developed and updated database interface application using Django framework

Analyzed, resolved issues related to servers using Ubuntu and Red Hat Enterprise Linux, wrote python scripts to automate tasks

Collaborated customer facing team to answer customer’s questions by digging into data with SQL and generated reports with MS Excel, Tableau

PROJECTS

Predictive Analysis with Python – Sea level predictor Determined average sea level change to predict ocean surface height through year 2050, since 1850, analyzed with pandas and plotted with matplotlib

Dynamic Dashboards using Tableau – COVID-19

Sketched states in various sectors with pivot tables, VLOOKUPs in MS Excel, bump charts, time shifts, blending in Tableau

Predictive Modelling – Carbon Footprints

Integrated analysis and modelling for Carbon footprint, food supply chain by calculating and designing records for food products, tracking the changes in diet to visualize released Carbon footprint in short and long term with tableau, result increased 13 percent

Development of Web App – Streamlit

Transited records into data-driven web-application for test model and statistical analysis using python scripts by adding widgets for interaction into conda environment

Calorie Calculator using Django – Python Framework Created and updated models for daily consumed calories and provided guidance for gaining-losing weight with Django and python

Amazon Vs eBay Analysis

Performed extraction of data with Amazon API, eBay API to compare prices using Universal product code, product cost, shipping information and created reports for different trends PUBLICATION

Quantitative Biomarkers to Predict Response to Clozapine Treatment Using Resting EEG Data – Elsevier Journal August 2020 EDUCATION

New York Institute of Technology, NY

MS, Computer and Information Science • GPA: 3.7/4.0 September 2018 – May 2020

University of Pune, India

BE, Electronics and Telecommunications July 2013 – May 2017 TECHNICAL SKILLS

Python (Pandas, NumPy, Matplotlib) Django, Flask, SQL, MS excel, Tableau, Power BI, Jupyter Notebook, Anaconda, MariaDB, C++, HTML5, MATLAB, Git, CSS, Ubuntu, Red Hat Enterprise Linux

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