Data Scientist
Ai Variant
Total years of experience :6 years, 6 Months
Project I: Energy Production in A Combined-cycle Power Plant
Objective: Improved energy production efficiency in a combined-cycle power plant.
Key Achievements:
Utilized sensor data analysis to identify correlations between independent and dependent variable.
Developed a predictive model using gradient boosting, achieving an R-squared score of 0.95.
Implemented feature engineering techniques, resulting in a 10% increase in energy production efficiency.
Impact: Significant cost savings for the power plant and enhanced operational efficiency.
Skills: Data preprocessing, Exploratory data analysis, predictive modeling, feature engineering.
Deployment of the model for continuous monitoring and further improvements.
Project II: Hotel Rating Classification
Objective: To build a model that classifies customer reviews based on their sentiment and the attributes that travelers are considering while selecting a hotel.
Key Achievements:
Implemented a robust classification model to predict hotel ratings based on various features such as customer reviews and rating.
Conducted extensive feature engineering to extract relevant information from unstructured text data in customer reviews, improving the model's accuracy.
Fine-tuned model hyper-parameters using grid search and cross-validation, achieving an overall accuracy of 97% on the test dataset.
Skills: Data preprocessing, Exploratory data analysis, Sentiment Analysis, feature engineering.
Integrated the classification model into a decision support system for hotel management, allowing them to proactively address issues highlighted by the model and enhance overall guest satisfaction.
Project I: Olist Store Analysis
Objective: Analyzed an Olist Store dataset, that provides a centralized location for managing and analyzing various aspects of an online business, such as sales, customer behavior, and inventory for Business growth.
Project II: Health Care Analysis
Objective: Analyzed a Health care dialysis dataset to provide you with a deeper understanding of dialysis and its impact, as well as highlight potential areas for improvement and further research in this field.
Key Achievements:
Improved Data Quality: Implemented data cleaning and preprocessing techniques that resulted in a significant improvement in data accuracy and
integrity, leading to more reliable analysis and decision-making.
Data Visualization: Created compelling data visualizations using tools like Tableau or Power BI, effectively communicating complex information to stakeholders and enabling better understanding of trends and patterns.
Stakeholder Presentations: Presented data analysis findings and recommendations to senior management and non-technical stakeholders in a clear and concise manner, facilitating data-driven decision- making across the organization.
Impact: Enabled data-driven decisions, resulting in an increase in revenue.
Skills: Data cleaning, data visualization, trend analysis, SQL, Advance Excel,
Tableau, Power BI.
Key Achievements:
Coordinate and track project activities, ensuring adherence to project schedules, milestones, and deliverables.
Performed with engineering teams to develop project plans, identifying tasks, timelines, and resource requirements.
Established effective communication and collaboration between engineering teams, project managers, and stakeholders.
Accenture Pvt Ltd - Chennai, India
Key Achievements:
Analyze financial statements, credit reports, and other relevant documents to evaluate risk and assess the financial liability of applicants.
Ensure compliance with underwriting guidelines, policies, and regulatory requirements.
Provide guidance and support to junior underwriters, reviewing their work for accuracy and adherence to standards.
Stay updated on industry trends, regulations, and best practices related to underwriting.
Achievements:
Received a Good Samaritan Award in 2013.
Received a Special Recognition award for the
‘ Best Performer in Pilot Batch’.
Received Numero Uno Award for overall
delivery excellence.
Trained and mentored a team of 10 junior
underwriters, equipping them with the necessary
skills and knowledge to excel in their roles
Dissertation: Detecting and Preventing Unauthorized Modification of HTTPs communication using Steganography. HTTP does not secure its request and responses. Using Man-in the middle attack, it is possible to alter the HTTP communication, while it still would look authentic. This paper proposes a steganography scheme that can be used to detect and prevent the unauthorized modification of HTTPs communication.
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