This week, ACPET is excited to announce two new openings on our Critical Minerals & Circular Economy team. We’re looking for passionate researchers to help shape India’s net‑zero future and drive high‑impact work across material flows and circular‑economy solutions.

*1. Junior Research Associate, Critical Minerals & Circular Economy*
● *Experience:* 0–3 years
● *Focus Areas:* Data collection and validation, material‑flow analysis, case‑study development, and creating visual content
● *Technical Tools:* Excel, Python, Microsoft Office, Google Suite

*Why Join ACPET?*
– Play a pivotal role in crafting India’s pathway to net‑zero
– Collaborate with a dynamic, interdisciplinary research team
– Enjoy a flexible, impact‑driven work environment
– Receive competitive compensation and professional growth opportunities

*How to Apply*
Send your CV, cover letter, and a writing sample to *<PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>*, with a cc to *<PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>*                                   Resume: [ROMIT GHOSH 
15/1/24 JHEEL ROAD BANK PLOT KOLKATA 
Education 
<PRESIDIO_ANONYMIZED_PHONE_NUMBER>  <PRESIDIO_ANONYMIZED_EMAIL_ADDRESS> 
Gokhale Institute of Politics and Economics 
Master of Science in Economics 
Work History 
September 2023 – May 2025 
GPA:  7.76 
Tata Steel 
Financial Analyst Intern, Power BI, Python, Excel 
June 2024 – July 2024 
Kolkata 
• Mapped out key performance indicators across APL Apollo, JINDAL Steel, and JSW Steel, synthesizing findings into 
actionable insights that enhanced Tata Steel’s competitive strategy and identified 3 areas for operational improvement. 
• Created a detailed modeling framework that projected Tata Steel’s market positioning growth over the next 5 years, 
identifying strategies to capture an additional 15 percent market share against top competitors in the tube 
manufacturing sector. 
• Constructed an advanced predictive model leveraging logistic regression techniques to forecast Tata Steel’s stock price, 
delivering an accuracy metric of 89.75 percent, and directly supporting data-driven investment strategies and risk 
assessments. 
• Researched and reported on the interplay between inflation, e-commerce, and fiscal balance in the Indian economy; 
insights crafted into an actionable strategy that informed 3 major economic policy proposals. 
• Demonstrated strong analytical and reporting skills, synthesizing complex data into actionable insights for stakeholders. 
Centre for Sustainable Development, GIPE 
Jalmulya Water Project  
May 2024 – August 2024 
Pune/Hybrid 
• Led a data-driven assessment of the water conservation project, identifying a 45 percent increment in efficiency 
through sustainable practices; gathered input from cross-functional teams to ensure a comprehensive evaluation of all 
data points. 
• Generated an in-depth report synthesizing research on water conservation initiatives, clearly presenting financial 
implications and environmental benefits; results prompted a shift in policy that improved resource allocation efficiency 
by 30 percent. 
Projects 
Prediction of heart disease among the aged population | Python, Machine Learning, Excel 
March 2025 
• Data: Processed and visualized a dataset comprising 3,030 rows and 14 columns, uncovering actionable insights 
that streamlined operations. 
• Data visualization and analysis: Developed a comprehensive data visualization framework that identified key 
variables influencing target outcomes; utilized a correlation matrix revealing that age was the most significant 
predictor, impacting over 500 data points analyzed. 
• Plotted graphs to illustrate the ratio of patients with and without heart disease. Analyzed the distribution of heart 
disease across different genders and the relationship between chest pain and heart disease. Explored the correlation 
between age, heart rate, and the presence of heart disease. 
• Methodology: Engineered a comprehensive data cleaning process that addressed missing values and outliers , 
resulting in a 40 percent increase in data reliability for clinical assessments and enhancing overall model accuracy. 
• Implementing advanced Decision Trees and Random Forest Classifier features, including cholesterol-blood pressure 
and age-heart rate ratios, enhance predictive model accuracy by 25 percent and reliability for clinical evaluations. 
• Result: Trained the model achieving an accuracy of 0.95 for Random Forest and 0.92 on the Decision Tree 
Model. 
Bookstore Management System | Stata, R 
April 2024 
• Designed a normalized SQL database schema with primary keys, foreign keys, and triggers for real-time stock updates, 
optimizing query performance for reporting. 
• Au t o m a t e d o r d e r p r o c e s s i n g w i t h s t o r e d p r o c e d u r e s, r e d u c i n g s t o c k o u t s . 
Skills: Python, C, SQL, R, Microsoft Office, Microsoft Excel, Stata, Statistical Modeling, Google Suite, 
Power BI 
Leadership / Achievements 
Xavier’s Economic Society 
Event Head - Confluence 
October 2020 - May 2023 
St. Xavier’s College(Autonomous), Kolkata 
• Part of the inter-college paper presentation idea to engage students across India. Vigorously promoted the event • Cleared GATE Examination, All India Rank – 281]                   Hi ChatGPT act as a recruiter and write a mail in short and brief quantifying your achievements in number and telling in a very good way