Maria Pratyusha
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Maria Pratyusha Email & Phone Number

Product Manager, AI and Analytics | Board Member at AppKorp Inc
Location: New York, United States 10 work roles 3 schools
1 work email found @columbia.edu LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 86%

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Work email m****@columbia.edu
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Current company
Role
Product Manager, AI and Analytics | Board Member
Location
New York, United States

Who is Maria Pratyusha? Overview

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Quick answer

Maria Pratyusha is listed as Product Manager, AI and Analytics | Board Member at AppKorp Inc, based in New York, United States. AeroLeads shows a work email signal at columbia.edu and a matched LinkedIn profile for Maria Pratyusha.

Maria Pratyusha previously worked as Data Analyst at Columbia University School Of Professional Studies and Data and Recruitment Analyst at Columbia University School Of Professional Studies. Maria Pratyusha holds Master'S Degree, Data Science from Columbia University In The City Of New York.

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{first}.{last}@columbia.edu
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Profile bio

About Maria Pratyusha

Hi, I'm a Data Science Master's graduate from Columbia University, New York. A data scientist passionate about solving business problems and acquiring the skill to communicate technical conclusions in simpler non-complex terms to stakeholders. I hold experience working as a full-stack Python developer during my tenure at Morgan Stanley where I honed my skills in Java, SQL, and Vue.js, and touched upon Jenkins and SonarQube. My education along with my experience and interest in data science has enabled me to attain a diversified set of additional skills like Data Analytics, Machine Learning, Statistical Inference, and Mathematical Modeling.I've been involved in projects concerning ML algorithms primarily and I strive for perfection and perform each task to the best of my ability. I am looking for opportunities and experiences that would help me develop my skills in Data Science and Machine Learning.

Current workplace

Maria Pratyusha's current company

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AppKorp Inc
Appkorp Inc
Product Manager, AI and Analytics | Board Member
New York, NY, US
AeroLeads page
10 roles

Maria Pratyusha work experience

A career timeline built from the work history available for this profile.

Product Manager, Ai And Analytics | Board Member

New York, Ny, Us

Data Analyst

Current

New York, New York, United States

• Spearheaded the development of a mentor-matching algorithm, increasing effective mentor-mentee pairings by 30% through meticulous analysis of alumni, current student, and mentor data.• Conducted extensive industry research and identified key strategic partners, leading to a 25% increase in collaborative ventures and sponsorships for the program.• Redesigned the TGMT program’s website, improving user engagement by 50% through the integration of student reviews, enhanced course content,… Show more • Spearheaded the development of a mentor-matching algorithm, increasing effective mentor-mentee pairings by 30% through meticulous analysis of alumni, current student, and mentor data.• Conducted extensive industry research and identified key strategic partners, leading to a 25% increase in collaborative ventures and sponsorships for the program.• Redesigned the TGMT program’s website, improving user engagement by 50% through the integration of student reviews, enhanced course content, and user-friendly layout adjustments.• Leveraged data analytics and visualization tools like Excel and Tableau to provide actionable insights, leading to a more targeted marketing strategy that resulted in a 15% increase in enrollment for executive programs.• Enhanced program visibility and accessibility through comprehensive website content management, including faculty profiles and program details, boosting online inquiries by 20%. Show less

Sep 2023 - Present

Data And Recruitment Analyst

New York, United States

Program: Executive and M.S. in Technology Management• Modified and cleaned the master mentor list through data-cleaning techniques.• Conducted competitive program analysis to identify and enhance the structure of the TGMT program.• Analyzed alumni, current students, and mentors' data, and manually generated pairs based on industries, experience, and interests.• Utilized Excel and Tableau to visualize and present data on age range, experience, gender ratio, and geo-locations of… Show more Program: Executive and M.S. in Technology Management• Modified and cleaned the master mentor list through data-cleaning techniques.• Conducted competitive program analysis to identify and enhance the structure of the TGMT program.• Analyzed alumni, current students, and mentors' data, and manually generated pairs based on industries, experience, and interests.• Utilized Excel and Tableau to visualize and present data on age range, experience, gender ratio, and geo-locations of admitted students for regular and executive programs.• Edited and wrote profiles for faculty members to be posted on the program's website.• Assisted in redesigning the program's website, including layout changes, adding student reviews, and modifying course content.• Engaged in marketing and communication activities, addressing concerns and providing assistance to prospective students during the application process.• Contributed to the organization and management of residencies, including scheduling, managing catering, and arranging for event materials. Show less

May 2023 - Aug 2023

Data Marketing Intern

New York City Metropolitan Area

Program: M.S. in Technology Management• Provide marketing strategies & visualizations by analyzing data for the Executive & Masters students in Technology Management.• Assist Deputy Program Director with administrative tasks to ensure the smooth running of the program.

Oct 2022 - Apr 2023

Nebdhub Graduate Student Assistant

New York, New York, United States

• Led the creation of a comprehensive suite of ML projects, including a Spotify recommendation system, a movie recommendation system, and a credit card fraud analysis, enhancing the learning experience for students and increasing project engagement by 40%.• Produced and shared educational content on statistics and data science, drawing in an additional 20% of prospective students to the program through informative webinars and workshops.• Co-developed a transformative course on… Show more • Led the creation of a comprehensive suite of ML projects, including a Spotify recommendation system, a movie recommendation system, and a credit card fraud analysis, enhancing the learning experience for students and increasing project engagement by 40%.• Produced and shared educational content on statistics and data science, drawing in an additional 20% of prospective students to the program through informative webinars and workshops.• Co-developed a transformative course on transformers with an industry expert, integrating cutting-edge AI insights into the curriculum and elevating the program’s competitiveness.• Actively participated in CIC calls, contributing to the discussion on addressing COVID issues through data science, and fostering meaningful collaborations with industry professionals. Show less

Sep 2023 - Feb 2024

Software Engineer

India

• Developed and implemented a software automation solution for ticket data extraction from ServiceNow and JIRA, enhancing data processing efficiency by automating over 500+ hours of manual work annually.• Performed extensive debugging and root cause analysis on legacy systems, resolving critical bugs, which improved system reliability by 40% and reduced downtime.• Authored comprehensive software and technical documentation, ensuring 100% compliance with project requirements and… Show more • Developed and implemented a software automation solution for ticket data extraction from ServiceNow and JIRA, enhancing data processing efficiency by automating over 500+ hours of manual work annually.• Performed extensive debugging and root cause analysis on legacy systems, resolving critical bugs, which improved system reliability by 40% and reduced downtime.• Authored comprehensive software and technical documentation, ensuring 100% compliance with project requirements and facilitating a 30% improvement in project onboarding efficiency.• Contributed to the adoption of agile development practices across this project, decreasing project delivery time by 20% while maintaining a 95% stakeholder satisfaction rate.• Played a pivotal role in organizing the CyberFest Hackathon, contributing to the development of the event website and the formulation of challenges, resulting in departmental engagement and participation. Show less

Jul 2021 - Jul 2022

Software Engineer Intern

• Trained in Finance and industry fundamentals • Received Java training covering fundamentals, OOPS concepts, Exceptions, and Spring Framework• Experience working on a team project for building a Bus Reservation System• Proficient in MySQL and familiar with Cassandra DB• Developed front-end using HTML, CSS, JS, TypeScript, and Vue.js• Knowledge of deployment concepts and tools including Git, Github, Jenkins, Kubernetes, Docker, and Sonarqube• Completed a full-stack… Show more • Trained in Finance and industry fundamentals • Received Java training covering fundamentals, OOPS concepts, Exceptions, and Spring Framework• Experience working on a team project for building a Bus Reservation System• Proficient in MySQL and familiar with Cassandra DB• Developed front-end using HTML, CSS, JS, TypeScript, and Vue.js• Knowledge of deployment concepts and tools including Git, Github, Jenkins, Kubernetes, Docker, and Sonarqube• Completed a full-stack project from planning to deployment phase Show less

Feb 2021 - Jun 2021

Data Science Intern

• Acquired knowledge of the stages in a machine learning project while working through the tasks in R and Python.• Collected data for credit card fraud detection and preprocessed the imbalance in the dataset by adopting undersampling as well as oversampling techniques.• Trained a Logistic Regression model in python to detect fraud; the problem here is a binary classification.• Worked with a team of 5 to build a Linear Regression model in R to predict a student's score, given the… Show more • Acquired knowledge of the stages in a machine learning project while working through the tasks in R and Python.• Collected data for credit card fraud detection and preprocessed the imbalance in the dataset by adopting undersampling as well as oversampling techniques.• Trained a Logistic Regression model in python to detect fraud; the problem here is a binary classification.• Worked with a team of 5 to build a Linear Regression model in R to predict a student's score, given the hours he spent studying. Show less

Sep 2020 - Oct 2020

Software Engineer Intern

Myassessment

Chennai, Tamil Nadu, India

Aug 2019 - Oct 2019
3 education records

Maria Pratyusha education

FAQ

Frequently asked questions about Maria Pratyusha

Quick answers generated from the profile data available on this page.

What company does Maria Pratyusha work for?

Maria Pratyusha works for AppKorp Inc.

What is Maria Pratyusha's role at AppKorp Inc?

Maria Pratyusha is listed as Product Manager, AI and Analytics | Board Member at AppKorp Inc.

What is Maria Pratyusha's email address?

AeroLeads has found 1 work email signal at @columbia.edu for Maria Pratyusha at AppKorp Inc.

Where is Maria Pratyusha based?

Maria Pratyusha is based in New York, United States while working with AppKorp Inc.

What companies has Maria Pratyusha worked for?

Maria Pratyusha has worked for Appkorp Inc, Columbia University School Of Professional Studies, Girlscript Summer Of Code, Northeast Big Data Innovation Hub, and Morgan Stanley.

How can I contact Maria Pratyusha?

You can use AeroLeads to view verified contact signals for Maria Pratyusha at AppKorp Inc, including work email, phone, and LinkedIn data when available.

What schools did Maria Pratyusha attend?

Maria Pratyusha holds Master'S Degree, Data Science from Columbia University In The City Of New York.

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