Tushar Sachdev

Interdisciplinary researcher with expertise spanning nanotechnology, bioengineering, soft robotics, and data analytics. Over 7 years of international research experience across India, Singapore, and China, complemented by recent work in data science and ERP analytics. Strong background in nano-biomaterials, regenerative medicine, biosensing, and neural prosthetics.

Co-author of a highly cited review (>300 citations) in Biosensors & Bioelectronics on nanotechnology-based mycotoxin detection. Experienced in experimental and computational methods, including Python-based analytics, ROI modeling, statistical programming, and predictive modeling. Proven ability to lead and collaborate on cross-disciplinary projects combining engineering, nanobiotechnology, and statistical programming.

ERP Analytics & Data Science Specialist at Spopli Technologies (2025-02 – Present)

• Conduct data quality audits and perform gap analyses of legacy systems prior to Odoo ERP implementation using Python and SQL.
• Build ROI models and interactive dashboards assessing financial and operational impacts of module adoption.
• Develop predictive models (logistic regression, Bayesian networks) to forecast process inefficiencies, client churn, or overdue payments.
• Analyze post-implementation KPIs including invoice accuracy, module adoption, and inventory efficiency.
• Maintain analytics pipelines using Python (Pandas, Matplotlib, Seaborn); document frameworks for scalability and reuse.
• Partner with ERP functional consultants to transform insights into process optimization and implementation recommendations.

Statistical Programming Intern at Spopli Technologies (2024-10 – 2025-02)

• Supported ERP analytics team in automating data cleaning, validation, and transformation workflows using Python and SQL.
• Performed exploratory data analysis and statistical testing to identify process inefficiencies and improvement opportunities.
• Assisted design and refine scripts to track and visualize key operational metrics and performance trends.
• Contributed to the development and documentation of standardized analytics frameworks for internal use.

Graduate Research Assistant - Nanobiotechnology (Full scholarship) at Peking University (2016-09 – 2019-03)

Conducted multidisciplinary research integrating soft robotics, neuroscience, and bioelectronics for neural rehabilitation. Worked on two concurrent projects for developing biomedical devices.

• Project A: Soft Sensors for Recording and Analyzing Neural Signals by Chronic Implantation – Developed biocompatible soft electrodes for continuous neural signal monitoring.
• Project B: Developing Neural Prosthetics using Soft Electronics for Rehabilitation of Amputees – Engineered flexible and stretchable electronic systems for neuro-prosthetic interfaces.
• Delivered hands-on experience in in vivo testing on mice.
• Collaborated with biomedical engineers and neuroscientists to optimize mechanical–biological coupling in neural interfaces.

Master's Thesis Research Assistant - Biomaterials and Tissue Engineering at Nanyang Technological University (2015-02 – 2015-12)

Worked on two concurrent projects focused on biomaterials and tissue engineering applications.

• Project 1: "The Role of Nanotopography on Stem Cell Differentiation" – Fabricated PDMS substrates with tunable mechanical properties and micro-patterned PVA coatings for adipose-derived stem cell (ASC) cultures.
• Project 2: "Synthesis & Characterization of Electrospun, Electro-active Nanoscaffolds for Endothelial Grafts" – Developed conductive nanofiber scaffolds and evaluated mechanical, morphological, and biocompatibility characteristics for vascular tissue engineering.
• Gained experience in electrospinning, cell culture specifically adipose tissue derived stem cells, electron microscopy (SEM/AFM) and statistical analysis of microscopy data and immunostaining.

Research Intern – Bio-analytics at Advanced Centre for Treatment, Research and Education in Cancer (ACTREC) (2014-05 – 2014-07)

• Performed mutation analysis of BRCA1 gene, identifying a novel missense mutation in exon 19.
• Utilized PCR, PAGE, and Sanger sequencing for genetic validation.
• Integrated BRCA1 mutation findings with statistical bioinformatics analyses to explore its protein interaction network using Pearson correlation, ChEA ChIP Enrichment, Venny 2.0.2, and Genes2Networks tools.

Research Assistant - Nanotechnology and Materials data analytics at Amity Institute of Nanotechnology, Amity University (2013-01 – 2014-12)

• Managed all aspects of project ranging from synthesis of hydrophobic silver nanoparticles and polymer nanocomposites to collection and analysis of data.
• Performed hands on expertise on several characterization techniques such as UV-Vis spectroscopy, Raman Spectroscopy, scanning electron microscopy, Fourier-Transform Infrared Spectroscopy and Dynamic Light Scattering.
• Performed statistical analysis of characterization data including calculation of mean, standard deviation, and regression fitting to assess reproducibility and parameter correlations; applied t-tests/ANOVA to evaluate significance of differences between synthesis conditions.
• Authored a literature review on nanotechnology-based sensors for mycotoxin detection nanotechnology-enabled DNA microarrays for mutation detection in cancer diagnostics.

Research Intern - Nanotechnology at National Chemical Laboratory (2012-05 – 2012-06)

• Synthesized graphene and nitrogen-doped graphene nanomaterials via thermal chemical vapor deposition.
• Performed structural and morphological characterization using Raman spectroscopy and microscopy techniques; analyzed data to correlate synthesis parameters with material quality.

Tutor | Mathematics, Physics and Chemistry (Grades 10 & 12) at Self-employed (2019-05 – 2024-09)

• Provided individualized and group instruction in mathematics, physics, and chemistry for high school students preparing for board and competitive examinations.
• Improved students' academic performance, with an average grade increase of 40%.
• Assessed learning needs, designed customized study plans, and provided constructive feedback to strengthen conceptual understanding.
• Developed strong interpersonal and mentoring skills through sustained student engagement and progress monitoring.

Executive Post Graduate Diploma in Data Science & Artificial Intelligence – IIT Bombay (2026-08 – 2027-12)

Bachelor's and Master's Dual Degree in Nanotechnology – Amity University (2010-07 – 2015-11)