Data Analyst Assistant
Resume:
C O N T A C T
********@*****.***
*** ****** ***** ***** **********, GA,
30022
E D U C A T I O N
SAINT LOUIS UNIVERSITY
St. Louis, MO
Bachelor of Arts (B.A.) Biology (May 2017)
A D D I T I O N A L S K I L L S
Excel, Python(SciPy, NumPy, Pandas, Seaborn,
sklearn, matplotlib, ipywidgets, StatsModel, Plotly), Data Visualization, Machine Learning, SQL, PLSQL,
SQL*Loader, Data Analysis, Data Entry, Data Cleaning, Regression Analysis, JSON, Random Forests, K-means, Cluster Analysis and KNN
E X P E R I E N C E
PYTHON DATA ANALYST
NSR LLC, Lilburn, GA / Jun 2018 - Mar 2020
• Converted data in actionable insights by predicting and modeling outcomes in Python.
• Utilized SQL, PLSQL, and other database visualization toolsets for data intelligence and analysis.
• Identified, analyzed, and executed new markets, services, and advertising opportunities. LAB TECHNICIAN
Saint Louis University, St. Louis, MO / Sep 2016 - May 2017
• The culmination of this job was my creation of a protocol to properly identify aero bacteria. LAB ASSISTANT
Center for Disease Control, Decatur, GA / May 2012 - Aug 2012
• Conducted Cystic Fibrosis Research regarding the effect of Neutrophil Extracellular Traps in worsening symptoms. Also studied the therapeutic use of Vitamin D and K on patients. My tasks included running assays, PCR, blotting techniques, and proliferating and testing cultures S U M M A R Y
• Focused programmer with an eye for quality. Data driven with strong analytic thinking useful in problem solving situations. Strong ability in translating data into hard business decisions.
• Can extract, clean, transform, validate or model data with the purpose of understanding or making conclusions from the data for decision-making purposes.
• Ability to write data definition language or data manipulation language SQL commands
• Involved in writing PL/SQL Stored Procedures, Functions, Cursors, Triggers and Package P R O J E C T S
• FIFA World Cup Players Analysis
Identified and analyzed World Soccer players' data to see which players played best under certain conditions (rain, snow, wind, etc.) and attributes (right leggedness, power, speed, etc.). Sorted players based on attributes such as speed, power, defending, passing, and other classifiers to assign an overall rating to a given player. Then using said rating created a super- team of players based on highest rating at a given position
• Iris Flower Classification:
Analyzed Iris flower data to create and design novel graphs and data visualizations. Then Ran cluster analysis to sort Iris Flowers in to three sub-species and fix outliers and intermediaries.
• Employee Attrition Analysis:
Analyzed Employee data to determine which employees deserve promotion. Sorted data to determine which type of employee produced highest output and then analyzed data to determine what qualifiers such as distance from work or time spent at company influenced output.
• Indian Crops Production Analysis:
Sorted and cleaned agricultural data of production in India to reveal what states had highest production for specific crops. Then combined with geographic data to determine which areas had highest production. Removed null values and used algorithms to conduct a timescale to depict change in production of crops in India versus China.
• Indian Startups Funding Analysis:
Analyzed Indian Startup data to determine what percentage of fully funded projects led to profits for investors over a period (1 year versus 5 years). RISHIKESH
RACHAVELPULA
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