Sreejith C — CEO

🚀 Hello! I've spent the last 12+ years working in the industry, focusing on turning data into valuable insights. My journey has involved tasks like data science, research, and analytics, all contributing to the development of impactful products and services. 🔍 Skilled in Back-end Engineering, Natural Language Processing, Machine Learning, Deep Learning, and Recommendation Systems, with expertise in the design, development, and deployment of Python applications. 🌟Proven experience and deep understanding of bioinformatics, laboratory informatics, chemistry, and healthcare 📌Authored more than 15 peer-reviewed conference and journal papers; current H-index: 7 🤝I'm driven by a commitment to excellence, actively seeking ambitious opportunities in data science and engineering. My goal is to showcase my skills while continuously learning and adapting to new challenges. I thrive in diverse cultures and work environments, viewing them as opportunities for both personal and professional growth. 😊 Let's connect and explore the exciting potential for collaboration. 🌟*** Discover more about me at: https://sites.google.com/site/sreejithc321 *** 🌟 Summary: -Adept in Python, data science, micro API services, cloud integrations, and code deployment. -Expertise in Natural Language Processing, Machine Learning, Deep Learning, Image Processing, and Analytics. -Hands-on experience in Classification, Clustering, Regression, and Recommendation Systems. -Leadership in development teams and mentorship of juniors/interns. -Published in reputable journals and conferences (IEEE, Springer, Elsevier). -Passion for adopting new concepts and technologies. -Thrived in startup environments and product development. -Intuitive data insights and proficiency in large-scale data analysis. Education: -M.Tech in Computational Linguistics (NLP/ML) -B.Tech in Computer Science and Engineering Profiles: -Google Scholar: https://scholar.google.com/citations?user=lpxosEIAAAAJ&hl=en -Github: https://github.com/sreejithc321 -StackExchange: https://datascience.stackexchange.com/users/5091/sreejithc321 -Blog: http://sreejithc321.blogspot.com Skills: Data & Text Analytics, Natural Language Processing, Machine Learning, Deep Learning, Image Processing, Python, Flask/Django, Recommendation Systems, Big Data Analytics, Cloud Computing, Programming, Social Network Analysis, Semantic Web, Graph Stores & Algorithms, Indexing and Searching, No-SQL/SQL Databases 📚 Learn, Unlearn, Relearn

Stackforce AI infers this person is a Data Science and Machine Learning expert in the Healthcare sector.

Location: Bengaluru, Karnataka, India

Experience: 11 yrs 9 mos

Skills

Machine Learning
Natural Language Processing

Career Highlights

Over 12 years of experience in data science and engineering.
Published more than 15 peer-reviewed papers.
Expert in Natural Language Processing and Machine Learning.

Work Experience

Excelra

Senior Architect (5 yrs 4 mos)

Utopia Global, Inc.

Senior Data Science Engineer (2 yrs 1 mo)

Calpine Group

Data Scientist (2 yrs 6 mos)

Startups

Data Science Engineer (1 yr 10 mos)

Defence Research and Development Organisation (DRDO)

Artificial Intelligence Project Trainee (5 mos)

Education

Master of Technology (M.Tech) at University of Calicut

Bachelor of Technology (B.Tech.) at University of Calicut

Sreejith C

CEO

Bengaluru, Karnataka, India11 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Over 12 years of experience in data science and engineering.
Published more than 15 peer-reviewed papers.
Expert in Natural Language Processing and Machine Learning.

Stackforce AI infers this person is a Data Science and Machine Learning expert in the Healthcare sector.

Contact

sreejithc321@gmail.com LinkedIn

Skills

Core Skills

Machine LearningNatural Language Processing

Other Skills

AIAPI developmentAWSAlgorithmsAmazon Web Services (AWS)AnalyticsArtificial IntelligenceAsanaBig DataBig Data AnalyticsBusiness DevelopmentC++Computational LinguisticsDB managementData Analysis

About

Experience

11 yrs 9 mos

Total Experience

2 yrs 11 mos

Average Tenure

5 yrs 4 mos

Current Experience

Excelra

Senior Architect

Feb 2021 – Present · 5 yrs 4 mos · Bengaluru, Karnataka, India · Remote

Enabling Life Science Advancements through Data Science
Collaborate with project managers to plan and execute projects translating business requirements into technical specifications and facilitating cross-team collaboration to solve complex problems.
Lead and mentor development teams, providing technical guidance and support.
Proficient in applying Python, AI, ML, and NLP methodologies, API development, DB management etc to catalyze innovation in the Life Science domain.
Hands-on in coding and solution development, actively contributing to designing, implementing, and optimizing scalable applications.
Skilled in AI, ML, NLP, Python, Flask/Fast Api/Django, PostgreSQL, AWS, NoSQL and SQL, Jira, and Git,
Projects and Clients:
Merck Millipore :
Working on solutions comprised of multiple modules, that enables synthetic chemists to drive automated synthesis experiments with minimal manual intervention.
Baylor Genetics:
Implemented diverse preprocessing and computational procedures for CNV/SNV data based variant classification and curation tool development
Cytokinetics:
Drove Python, Database Management and API development initiatives, providing crucial support on various applications to ease scientific experimentation, collaborations and reporting
Leveraged AWS to ensure seamless scalability and performance for data-driven solutions.
Janssen (Pharmaceutical Companies of Johnson & Johnson):
Developed application to perform tissue molecular phenotyping experiment and record the experimental data, application to identify mitochondrial toxicity structural alerts and identifies the closest structurally related compound etc
Excelra NGC Platform:
Led the development of a cutting-edge Natural Language Processing (NLP) and Machine Learning (ML) based curation tool to extract various information from scientific documents.

PythonAIMLNLPAPI developmentDB management+11

Utopia global, inc.

Senior Data Science Engineer

Dec 2018 – Jan 2021 · 2 yrs 1 mo · Bangalore · On-site

Dedicated to applying Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and image processing techniques to resolve complex challenges across various industries
Orchestrated the design, development, and leadership of a team to introduce automation solutions, significantly saving time and manpower resources
Proficient in developing, implementing, and validating statistical and machine learning models to drive actionable insights
Proven track record in API design, feature enhancement, and customization to align with dynamic business needs
Exemplified leadership by mentoring and guiding a team to achieve cutting-edge solutions through algorithm design and experimental exploration
Pioneered the creation of Image Processing, NLP, and ML-based tools for extracting structured information from metal plates of manufacturing plant assets
Spearheaded the development of NLP and ML-powered tools to extract and link information from diverse documents
Instrumental in mentoring and guiding over 10 interns and junior developers, fostering their growth and professional development
Key Skills: Natural Language Processing, Image Processing, Machine Learning, Deep Learning, Transfer Learning, Python/Django, AWS, and more

Natural Language ProcessingImage ProcessingMachine LearningDeep LearningTransfer LearningPython+2

Calpine group

Data Scientist

Jun 2016 – Dec 2018 · 2 yrs 6 mos · Cochin Area, India · On-site

Data Scientist at Calpine Labs (R&D Team)
Spearheaded and executed the strategic direction for all machine learning and data science initiatives within the organization
Collaborated closely with Project Managers to define project scopes, allocate resources, and ensure effective support for system development efforts
Applied Natural Language Processing (NLP) and Machine Learning (ML) techniques to address various medical and healthcare business challenges, including entity extraction, summarization, topic modeling, and image classification
Developed a sophisticated Question Answering System, involving tasks such as Part-of-Speech (POS) tagging, keyword extraction, Named Entity Recognition (NER), and textual data similarity analysis
Led advancements in Medical Image Processing through Convolutional Neural Networks (CNNs), Data Augmentation, and OpenCV integration
Designed and implemented solutions for resume classification, parsing, and ranking
Demonstrated exceptional leadership by mentoring and guiding 6 interns, and managing a team of 5+ developers during my tenure
Published research in esteemed peer-reviewed journals and conferences
Key Skills: Natural Language Processing, Deep Learning, Machine Learning, Image Processing, Python, Django, ElasticSearch, MongoDB, Neo4j, and more

Natural Language ProcessingDeep LearningMachine LearningImage ProcessingPythonDjango+3

Startups

Data Science Engineer

Aug 2014 – Jun 2016 · 1 yr 10 mos · India · On-site

Extensive experience collaborating with startups (Decirc and Prototyze) to drive Data Science applications to success
Proficient in a wide range of data science techniques, including text mining, machine learning, sentiment analysis, named entity recognition, classification, clustering, and regression
Skilled in managing end-to-end data processing pipelines, from data extraction and cleaning to storage, modeling, deployment, and visualization
Expertise in integrating diverse data sources, including social media APIs, web scraping, and message brokers
Accomplished in creating comprehensive user profiles from unstructured social media data and leveraging them for automated personalized marketing across multiple channels
Successfully engineered a recommendation engine utilizing factors such as demographics, social media insights, and consumer preferences (brand, price, discounts, color, material) through techniques like collaborative filtering
Pioneered a compensation prediction model by harnessing user education, company details, social media insights, financial data, and more
Key Skills: Natural Language Processing (NLP), Text Classification, Sentiment Analysis, Named Entity Recognition, Regression Models, Recommendation Systems, Neo4j, Mahout, Elasticsearch, Kafka, AWS, Amazon SQS, RabbitMQ, Scheduled Tasks / Cron Jobs, SQL/NoSQL Databases, Python, and more

Natural Language ProcessingText MiningMachine LearningSentiment AnalysisNamed Entity RecognitionRegression Models+8

Defence research and development organisation (drdo)

Artificial Intelligence Project Trainee

Jan 2014 – Jun 2014 · 5 mos · Bengaluru Area, India

Proficient in creating Knowledge Graphs from unstructured documents
Experienced in developing ontologies to represent complex domain knowledge
Skilled in extracting entities and uncovering relationships from unstructured textual reports
Adept at visually presenting extracted entities to enhance entity linking and facilitate insightful inferences
Key Skills: Natural Language Processing, Information Extraction, Machine Learning (Python, CRF++, NLTK, Naive Bayes), Semantic Web (Protege, Apache Jena), Social Network Analysis (Swoop, GraphML, Neo4j)

Natural Language ProcessingInformation ExtractionMachine LearningSemantic WebSocial Network Analysis