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saichetana tokachichu

@saichetanatokachichu

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Data Scientist with 5 years of experience in ML/DL models.

India

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What I'm looking for

I am looking for a role that challenges my analytical skills and offers opportunities for growth in a collaborative environment.

I am a Data Scientist with 5 years of experience in designing scalable machine learning and deep learning models. My academic background includes a Master’s degree in Statistics, which has equipped me with a strong foundation in data analysis and statistical methodologies. I have a proven track record of driving data-driven decisions that enhance operational efficiency and improve business outcomes.

At Bayer Crop Science, I developed an In-Season Prediction Model that achieved 87% accuracy in predicting harvest and flowering dates. My work on an LSTM-based inventory aging model reduced storage costs by 15%. I also created a weather forecasting system integrated into Power BI dashboards, which is utilized by over 500 users. My experience extends to mentoring interns and leading workshops, fostering a culture of continuous improvement and strategic thinking within teams.

Previously, at Finbots.AI, I enhanced user engagement through a gamified scoring model and developed CI/CD pipelines that significantly reduced deployment time. My role as a Business Intelligence Analyst at SBICAP Securities allowed me to leverage clustering techniques to improve campaign targeting and customer retention. I am passionate about using data to solve complex problems and drive meaningful change.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist – RCP

Current

Bayer Crop Science

Mar 2022 - Present (3 years 3 months)

As a Data Scientist at Bayer Crop Science, I developed predictive models for agricultural outcomes, including an In-Season Prediction Model with 87% accuracy. I automated reporting processes, improved resource allocation through yield prediction, and enhanced farmer retention by applying clustering techniques. Additionally, I led training workshops and mentored junior analysts.

Python SQL Power BI Machine Learning Deep Learning Hypothesis Testing QGIS DBSCAN

Data Scientist

Finbots.AI

Apr 2021 - Mar 2022 (11 months)

At Finbots.AI, I enhanced user engagement through a gamified scoring model and reduced model build time with automated feature selection. I developed CI/CD pipelines for efficient deployment and led NLP-based sentiment analysis, significantly increasing sales conversion rates.

Python SQL Redshift NLP Flask Selenium BeautifulSoup CI CD Data Analysis

Business Intelligence Analyst

SBICAP Securities

Feb 2020 - Mar 2021 (1 year 1 month)

In my role as a Business Intelligence Analyst at SBICAP Securities, I utilized clustering techniques to improve customer targeting and predicted churn to enhance retention. I built recommendation systems and automated processes to increase efficiency and campaign ROI.