i
itisha_patidar

itisha patidar

@itisha_patidar

Data Analyst and Digital Marketing Specialist

India
Inglés, Hindi
Parte de la información aparece en idioma inglés.
Sobre mí
I am a fresh MBA graduate specializing in Business Analytics, with hands-on experience in Data Analytics and Digital Marketing. I offer services in Excel, Power BI, Tableau, Data Analysis, Market Research, Canva, Content Creation, Social Media Marketing, and Generative AI. Although I am new to freelancing, I am hardworking, detail-oriented, and committed to delivering accurate, high-quality work on time. I take every project seriously and always give my best to meet my client's requiremen... Lee más

Habilidades

i
itisha_patidar
itisha patidar
desconectado • 
Tiempo medio de respuesta: 1 hora

Revisa mis servicios

Digitación de datos
I will accurate data entry, data typing, excel and copy paste work
DeUSD 25 / proyectoMás información
Análisis de BI
I will excel data analysis and dashboards
DeUSD 10 / proyectoMás información

Experiencia laboral

Solar_Insure

marketing intern

Solar Insure

Jun 2026 - Aug 2026 • 2 mos

• Designed social media creatives, carousels, brochures, and promotional materials using Canva. • Created content calendars, captions, reel scripts, newsletters, and LinkedIn posts. • Researched renewable energy trends and supported case studies and marketing communications. • Used Generative AI tools to enhance marketing content and video creation.

upGrad

data analyst inern

upGrad

Jun 2025 - Aug 2025 • 2 mos

• Completed a 10-week hands-on training in Python, R, SQL, Excel, and data analytics workflows • Applied data cleaning, transformation, and visualization techniques on real-world datasets • Worked with mentors and peers to understand business-oriented analytical problem solving

business analyst intern

Jupiter

Jun 2025 - Jul 2025 • 1 mo

• Analyzed 10,000+ banking customer records using SQL & PostgreSQL to identify key customer churn drivers • Performed customer segmentation based on demographics, geography, and product usage to highlight high-risk segments • Derived business insights from transactional and behavioral data and discussed findings with mentors