Ranjana Girish

CTO

Karnataka, India9 yrs 8 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Co-founder of an AI-driven EdTech platform.
Expert in data analytics and machine learning.
Led development of engagement analytics solutions.

Stackforce AI infers this person is a SaaS and EdTech expert with a strong focus on AI and data analytics.

Contact

ranjanagirish30@gmail.com LinkedIn

Skills

Core Skills

Data AnalyticsArtificial IntelligenceComputer VisionAiData ScienceMlopsNlpPredictive ModelingData Wrangling

Other Skills

API developmentAmazon Web Services (AWS)Apache SparkArtificial Neural NetworksBusiness AnalyticsConversational AIData AnalysisData EngineeringData StructuresDeep LearningDescriptive analyticsEngagement analyticsFastAPIGenerative Adversarial Networks (GANs)Generative ai

About

As a business data scientist, I have a passion for using data to drive decision-making and business growth. Combining technology with business acumen , I have a unique perspective on how to leverage data to unlock new insights and opportunities. As a Co-founder & CTO @ Attentionkart , I am responsible for overseeing the technical direction of the company, managing a team of engineers and researchers, and driving the development of advanced Computer vision use cases. Before ,I was working in Unilog for data analytics and AI/ML solution engineering team. As a key member of a small but high octane team, I played a multi-faceted role in designing, developing & commissioning a full-blown AI/ML driven text and image based classification & matching system in the B2B arena. Looking back on my journey from data scientist to AI startup co-founder, I have learned so much and gained invaluable experience. I am excited to see where the future takes us in rapidly growing AI market

Experience

9 yrs 8 mos

Total Experience

3 yrs 2 mos

Average Tenure

5 yrs

Current Experience

Attentionkart

2 roles

Chief Technology Officer

Mar 2022 – Present · 4 yrs 2 mos

In my current role as CTO, I am responsible for overseeing the technology strategy and execution . I work closely with my leadership team to align technology with business goals, and lead a team of talented engineers and data scientists to deliver high-quality platform that drive value for our customers.

Co-Founder

May 2021 – Present · 5 yrs

As a data scientist with over 5 years of experience, I have always been passionate about using data to drive business insights and improve decision making.
During Pandemic , more than ever before the importance of "effective" online learning came to forefront. The main concern there was HOW TO MEASURE THE STUDENT ENGAGEMENT IN CLASS?
In traditional classroom teacher will easy get to know that students are boarded and non attentive. But how do they gauge engagement online?
we understood Data analytics and Artificial intelligence play a crucial role ..so we built , Attentionkart as an intelligent EdTech platform with AI teacher to improve overall learning experience of children from personalizing the learning content to monitoring the engagement throughout their learning journey.
Later the days ,we slowly started understanding affective computing market and its growth rate. so we thought of creating an AI SaaS platform that would allow companies to quickly and easily incorporate Computer vision based engagement analytics solutions into their operations, without the need for expensive and time-consuming custom development.
Now, Attentionkart is an intelligent Multidimensional Engagement analytics platform with multi modal AI pipeline which can be integrated across multiple video conferencing apps like zoom, google meet , teams, skype etc to get engagement insights of users.
Today, AI Innovations is making a real impact in the world of business. Our goal to scale the platform into companies in a wide range of industries, from edtech to retail, to drive business growth and improve ROI

Data analyticsArtificial IntelligenceComputer visionEngagement analytics

Unilog

2 roles

Senior Software Engineer( Data science)

Promoted

Jan 2021 – May 2021 · 4 mos

Working in multiple data driven use cases, I gained high proficiency in handling large volumes of data spanning across the full cycle of descriptive, diagonstic, predictive and
precriptive analytics.
with analytical bent of mind, I worked with a team solving business problems by applying the full spectrum of data science (CRISP-DM),
application development (SDLC) and model deployment/maintenance (MLOps) processes.
I believed in continous learning as a catalyst for
organizational growth and personal development, through both formal learning and on the job assignments, this has helped me to ace certification

Data scienceMLOpsPredictive analyticsDescriptive analytics

software engineer( Data science)

Aug 2017 – Dec 2020 · 3 yrs 4 mos

Worked closely with Data analysts in understanding Business problems and develop Data science use cases to aid there work
Designed and implemented complex pre-processing pipelines for NLP applications.
Researched ,designed and implemented a predictive model for Ecommerce product classification which reduces manual effort up to 50%
worked on web scrapping application maintaince and improvisation for Data sourcing
Designed and Developed Django and flask APIs to serve Machine learning model.
Developed a Solr search engine for product search and mapping

NLPPredictive modelingWeb scrapingAPI development

Unilog content solution

intern

Jul 2016 – Jul 2017 · 1 yr · Mysuru Area, India

Implemented Record linkage tool using apache spark to compare millions of Ecommerce data which improved productivity of data analyst work up to 60%.
Research and did POC of predictive models for content management in R.
Designed system for data wrangling which aid data analyst work

Record linkageData wranglingPredictive modeling