Avnika Manaktala

Business Development Executive

Austin, Texas, United States5 yrs 8 mos experience

Highly Stable

Key Highlights

Master's degree in Data Science with strong analytical skills.
Led multiple data-driven projects in healthcare and predictive analytics.
Passionate about continuous learning and improving lives with data.

Stackforce AI infers this person is a Data Science professional with a focus on SaaS and Healthcare analytics.

Contact

Skills

Core Skills

Data ScienceData AnalysisMachine Learning

Other Skills

PythonRSQLGoogle Cloud Platform (GCP)AzureConvolutional Neural Networks (CNN)Random ForestData VisualizationMicrosoft OfficeManagementLeadershipProject ManagementStatistical Data AnalysisScriptingForecasting

About

I am a GTM and Sales Strategy Analyst at Adobe with an academic background in data science and engineering. Coming from a technical background, I am an analytical thinker and a detail-oriented person. I have a master’s degree in data science which has given me the necessary technical skillset for data analysis in Python, R, SQL, Hadoop and Bash. Furthermore, my internship has given me exposure to cloud computing platforms (GCP and Azure) and data visualization programs such as PowerBI and Tableau. My bachelor’s degree in engineering has also bolstered my quantitative skills and given me the opportunity to be certified in design thinking. I am passionate about improving people’s lives with data and I am constantly on the lookout for exciting opportunities where I can apply my skills. I am persistent and very passionate about continuous learning and welcome to any recommendations on how I can grow professionally.

Experience

5 yrs 8 mos

Total Experience

1 yr 11 mos

Average Tenure

1 yr 11 mos

Current Experience

Adobe

GTM and Sales Strategy Analyst

Jul 2024 – Present · 1 yr 11 mos · Austin, Texas Metropolitan Area

Cloudflare

2 roles

Data Analyst II

Promoted

Oct 2022 – Aug 2024 · 1 yr 10 mos · Austin, Texas Metropolitan Area

Data Analyst

Apr 2021 – Sep 2022 · 1 yr 5 mos · Austin, Texas Metropolitan Area

Ismiletechnologies

Data Science Intern

Jun 2020 – Aug 2020 · 2 mos · Chicago, Illinois, United States

Worked on two projects during the course of the internship- predictive analytics and healthcare analytics. Developed both projects from scratch and deployed them as solutions to cloud platforms as described below.
Led a team of 5 interns on a predictive maintenance solution for the predictive analytics project aimed at a large mining company. Trained and tested a Random Forest model to identify the lifetime of vehicle parts and alert if any part is going to fail. Used Convolutional Neural Networks (CNN) model to detect driver distraction with 98% accuracy as part of driver assist feature, to alert driver to pay attention to the road if he is distracted. Deployed model onto Google Cloud Platform (GCP) and developed web and mobile app using App Engine for efficient tracking of vehicles.
Worked as a member in the healthcare analytics team to provide patient vitals tracking and notification solution for a hospital. Deployed models developed on vitals tracking and face expression recognition on Azure and developed a web app to notify doctors if patient’s vitals are abnormal or patients appear to be in pain.

PythonRSQLGoogle Cloud Platform (GCP)AzureConvolutional Neural Networks (CNN)+4

Rolls-royce

HSE and Energy Intern

Jan 2018 – Jun 2018 · 5 mos · Singapore

Worked as a Health, Safety, Environment (HSE) and Energy intern for the Rolls Royce Seletar Manufacturing site. Implemented the switch to LED lighting based on resource consumption data for the site. Maintained records for resource consumption and proposed new ideas for conservation of electricity and water.
Tracked the health, safety and environmental findings on site and automated the process for tracking to reduce time on administrative tasks and improve the process of tracking. Headed a team of 30 interns to organize a company-wide event for environmental awareness on-site.

National university of singapore

Research Assistant

May 2017 – Dec 2017 · 7 mos · Singapore

Worked as an undergraduate research assistant at the Civil and Environmental Engineering Lab at the National University of Singapore. Used molecular techniques to study virus concentrations from different water sources.
Virus concentration data was then used to perform spearman correlations to identify an indicator which would represent the general quality of water studied. Performed all calculations on Microsoft Excel and contributed to a paper on the subject.