SARANYA DEVI

Gamaka Intellectual Machines

India

Since December 23, 2025

Skills

Data Visualization Designers

Experience

Gamaka Intellectual Machines

Data Analyst

January 1, 2023 – Present

Navi Mumbai, India

Sagar Wines. Pvt. Ltd

Data Analyst

September 1, 2021 – October 1, 2022

Navi Mumbai, India

Sharad Trading

Data Analyst

March 1, 2021 – September 1, 2021

Navi Mumbai, India

Sula Vineyards

Senior Sales Support & Analyst

September 1, 2013 – January 1, 2021

Navi Mumbai, India

Flexilis.Pvt. Ltd

MIS Executive

April 1, 2012 – September 1, 2013

Navi Mumbai, India

Tender Tiger

Business Development

September 1, 2011 – April 1, 2012

Navi Mumbai, India

Key Strengths

Extensive experience (10+ years) in data analysis, reporting, and business intelligence, with a recent focus on advanced analytics.
Proficiency in data visualization tools including Power BI and Tableau, demonstrated through building insightful dashboards.
Strong SQL skills, specifically with MySQL, for data extraction and analysis.
Practical experience with Python for data analysis, utilizing libraries such as NumPy, Pandas, Matplotlib, Seaborn, Plotly, Dash, and Streamlit.
Exposure to advanced analytical techniques like Time Series Forecasting (ARIMA/SARIMA) and application of Generative AI/Prompt Engineering for automation.
Proven ability to collaborate with cross-functional teams, define KPIs, and translate data-driven insights into business outcomes.
Role Match: The candidate's profile aligns strongly with a Data Analyst or Business Intelligence Developer role, with Python used primarily for data manipulation and analysis. For a general 'Python Engineer' role, the match is moderate, as the resume provides less explicit evidence of core software engineering practices (e.g., API development, system design, robust application building, testing frameworks) typically associated with such a title.

Cultural & Operational Fit

Cultural Fit Analysis

Based on the resume, the candidate appears to be a collaborative team player with a strong passion for data-driven decision-making and continuous product enhancement, which suggests a positive cultural fit in an analytical and innovative environment. However, without psychometric test results (score 0), this assessment is based solely on self-reported attributes.

Soft Skills & Operational Fit

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Assessing your cultural and operational fit

Key Strengths

Extensive experience (10+ years) in data analysis, reporting, and business intelligence, with a recent focus on advanced analytics.
Proficiency in data visualization tools including Power BI and Tableau, demonstrated through building insightful dashboards.
Strong SQL skills, specifically with MySQL, for data extraction and analysis.
Practical experience with Python for data analysis, utilizing libraries such as NumPy, Pandas, Matplotlib, Seaborn, Plotly, Dash, and Streamlit.
Exposure to advanced analytical techniques like Time Series Forecasting (ARIMA/SARIMA) and application of Generative AI/Prompt Engineering for automation.
Proven ability to collaborate with cross-functional teams, define KPIs, and translate data-driven insights into business outcomes.
Role Match: The candidate's profile aligns strongly with a Data Analyst or Business Intelligence Developer role, with Python used primarily for data manipulation and analysis. For a general 'Python Engineer' role, the match is moderate, as the resume provides less explicit evidence of core software engineering practices (e.g., API development, system design, robust application building, testing frameworks) typically associated with such a title.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit