Chiranjeev Parsoya

CEO

Hyderabad, Telangana, India11 yrs experience

Most Likely To SwitchAI Enabled

Key Highlights

Achieved 90% accuracy in CV recommendation engine.
Led development of AI-driven recruitment solutions.
Expert in Natural Language Processing and Generative AI.

Stackforce AI infers this person is a Data Science expert specializing in AI-driven solutions for the Technology and Fintech industries.

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Skills

Core Skills

Data ScienceMachine LearningNatural Language Processing (nlp)Predictive Modeling

Other Skills

AI-driven productsAJAXAlgorithmsAmazon S3Amazon Web Services (AWS)Artificial IntelligenceCC++Core JavaCross-functional Team LeadershipData AnalysisData ModelingData StructuresDeep LearningElasticsearch

About

• Professional experience in the Data Science field, specializing in Advanced Analytics, Machine Learning, and AI, with a focus on delivering impactful solutions in the Technology industry. • Leading as Chief Data Scientist at Recruitment Smart, driving the development and enhancement of AI-driven products aligned with business needs and user requirements. • Achieved a 90% accuracy rate in the CV recommendation engine, optimizing recruitment through precise candidate suitability scores. • Showcased strong leadership and collaboration, guiding cross-functional teams in designing and implementing innovative data solutions. • Leveraged expertise in Natural Language Processing to extract insights from unstructured data sources and initiated projects that improved system performance, such as reducing CV parsing response time from 20 to 4 seconds. • Showcased a robust understanding of Big Data ecosystems, utilizing tools and frameworks like Hadoop and AWS for efficient data management and analysis. • Proficient in data visualization and modeling, transforming complex datasets into actionable insights, driving strategic decision-making and fostering a culture of continuous improvement within the team. • Leveraged expertise in Generative AI and Large Language Models (LLMs) to develop advanced Natural Language Processing (NLP) solutions, including applications like text summarization, sentiment analysis, and automated content generation, driving innovative business outcomes and enhancing user engagement.

Experience

11 yrs

Total Experience

3 yrs 8 mos

Average Tenure

6 yrs 11 mos

Current Experience

Recruitment smart technologies

2 roles

Chief Data Scientist

Promoted

Apr 2023 – Present · 3 yrs 2 mos

Achievements:
Developed a CV recommendation engine achieving an impressive 90% accuracy rate, enhancing
the recruitment process and candidate selection efficiency.
Successfully implemented a job description recommendation engine that attained an 80% accuracy
rate, streamlining the hiring process for clients.
Created a highly efficient CV parser and JD parser that extracts key information with a remarkable
95% accuracy across various fields, improving data processing capabilities.
Reduced the response time for CV parsing from 20 seconds to just 4 seconds, greatly enhancing
user experience and operational efficiency.

Natural Language Processing (NLP)AI-driven productsData ScienceMachine Learning

Sr. Data Scientist

Jun 2019 – Mar 2023 · 3 yrs 9 mos

Role:
Spearheading the development of innovative features for the Sniper AI product, leveraging
Generative AI and advanced LLMs to enhance the recommendation engine's capabilities for
superior candidate-job matching.
Administering the scoring mechanism for CVs against job descriptions (JD), implementing cutting-
edge NLP algorithms to improve accuracy and relevance.
Leading the design and execution of NLP-based parsers for CVs and job descriptions (CV parser
and JD parser), employing state-of-the-art techniques to extract and process critical information.
Collaborating with cross-functional teams to identify and address user needs, translating them into
impactful data science projects aligned with business objectives.
Conducting rigorous testing and validation of machine learning models to ensure optimal
performance and reliability in real-world applications.
Analyzing user feedback and system performance metrics to drive continuous improvement
initiatives within the AI product suite.
Mentoring junior data scientists and analysts, promoting knowledge sharing and fostering
professional growth within the team.
Engaging with stakeholders to present findings and insights from data analysis, aiding in informed
decision-making processes.
Mentoring junior data scientists and analysts, promoting knowledge sharing and fostering
professional growth within the team.
Engaging with stakeholders to present findings and insights from data analysis, aiding in informed
decision-making processes.

Generative AILarge Language Models (LLM)Natural Language Processing (NLP)Machine Learning

3loq

Data Scientist

Sep 2017 – Jun 2019 · 1 yr 9 mos · Hyderabad Area, India

Role:
Managed the end-to-end data ingestion process, ensuring the integrity and quality of client data
through rigorous sanity checks and exploratory analysis.
Executed feature engineering and model tuning processes, optimizing Machine Learning models
for enhanced predictive performance.
Established accuracy metrics for various models, ensuring alignment with business objectives and
client expectations.
Collaborated with Product Teams to define project scopes and deliverables, ensuring timely
execution of Data Science initiatives.
Conducted comprehensive data wrangling and analysis to derive actionable insights that inform
strategic business decisions.
Engaged in continuous learning and application of the latest Machine Learning techniques to stay
ahead in the rapidly evolving Data Science landscape.
Developed and maintained documentation for Data Science processes, ensuring transparency and
reproducibility of results.
Participated in stakeholder meetings to communicate project progress and gather feedback for
iterative improvements.
Achievements:
Designed a recommendation service for banking clients that improved user engagement, utilizing
advanced machine learning techniques and Big Data tools.
Successfully classified banking transactions using NLP techniques, enhancing the accuracy of
transaction type identification.
Achieved recognition for innovative solutions that enhanced client satisfaction and operational
efficiency.

Machine LearningData AnalysisFeature EngineeringData Science

Vserv

Data Scientist

May 2015 – Sep 2017 · 2 yrs 4 mos · Mumbai Area, India

Role:
Developed predictive models to ascertain user demographics and interests, enabling targeted marketing strategies and personalized user experiences.
Created detailed user profiles and segmentation strategies, facilitating more effective engagement and retention initiatives.
Conducted extensive analysis to identify look-alike audiences, leveraging behavioral data to enhance marketing campaigns.
Defined key performance indicators for CPC, CPA, and CTR, providing actionable insights to optimize advertising strategies.
Collaborated with Marketing Teams to implement data-driven campaigns that align with user preferences and behaviors.
Engaged in continuous monitoring and analysis of campaign performance, making data-informed adjustments to maximize ROI.
Presented findings and recommendations to stakeholders, ensuring alignment with business objectives and marketing strategies.
Mentored junior analysts in data analysis techniques and best practices, fostering a collaborative learning environment.
Achievements:
Successfully built a user persona model that accurately predicted user demographics, leading to improved targeting in marketing campaigns.
Developed predictive models for CPC, CPA, and CTR, providing critical insights that enhanced advertising performance.
Recognized for innovative approaches to data analysis that improved marketing outcomes.